CakeResume Talent Search

Advanced filters
On
4-6 years
6-10 years
10-15 years
More than 15 years
India
Avatar of Nitesh Patidar.
Avatar of Nitesh Patidar.
Data entry clerk @Vpon Big Data Group
2018 ~ Present
More than one year
Experience Data entry clerk Vpon Big Data Group MayPresentTaipei, Taiwan Hello, I was data entry clerk in company for full time job . I am working only as a data enterer. Title of the video Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis nostrud exerci tation ullamcorper suscipit lobortis nisl ut aliquip ex ea commodo consequat. Skills Data Entry Presentation Skills Typing Speed: English 46 WPM Microsoft Office Languages English — Fluent EducationIps Academy indore Data entry operator
Data Entry
Presentation Skills
Typing Speed: English 46 WPM
Part-time / Interested in working remotely
4-6 years
Ips Academy indore
Data entry operator
Avatar of Satish Gummadi.
Avatar of Satish Gummadi.
Head of Mobile Apps @Travelstart
2020 ~ Present
More than one year
.rehlat.com/ Stack: Native(Android & iOS) Give development plan suggestions to the founder Large scale application experience: collaboration/communication with multiple teams Feature owner: work with backend/UX to deliver new/enhanced features App lifecycle and custom events are collected and transmitted to our Big Data collection servers for analysis. To interface with the backend Analytics platform, use REST calls. SQLite, Core Data, encryption, and Core Location Services are all part of the project. I'm the scrumbag scrum master, and I'm in charge of the daily stands and sprint
Mobile Application Development
Flutter
Android
Part-time / Remote Only
10-15 years
Acharya Nagarjuna University
Master's Degree in Computer Application MCA
Avatar of Raja Prakash Muthuruman.
Avatar of Raja Prakash Muthuruman.
Senior Data Engineer @Walmart Global Technology Pvt. Ltd.
2014 ~ Present
Data Engineer
More than one year
Raja Prakash Muthuruman Enthusiastic Data Engineer, with saying 7+ years of experience working in Big Data, Spark, ETL and Machine Learning Projects. Expertise in DW, ETL, Data Analytics, Data Visualisation, GCP, Scala, Python, Spark and SQL. Senior Data Engineer (Spark, Big Data, ETL, Advance Analytics and Machine Learning ) Tel :, [email protected] Education National College of Engineering, B.Tech, Information Technology, 2009 ~ 2013 Maintain Distinction across all semester with overall CGPA of 8.1. Actively participated in NSS and other social and sports activities. Participated in Ethical Hacking Workshop
python (numpy scipy machine learn deeplearn cnn)
SQL
data analysis
Full-time / Interested in working remotely
6-10 years
National College of Engineering
Information Technology
Avatar of the user.
Avatar of the user.
Senior Member of Technical Staff @247.ai
2019 ~ Present
Senior Dev or Tech Lead
More than one year
JavaScript
React.js
Redux
Employed
Full-time / Interested in working remotely
6-10 years
Sir M Visvesvaraya Institute of Technology
Electrical and Electronics Engineering
Avatar of the user.
Avatar of the user.
Data Engineer @Wipro Technologies (Technical Lead)
2019 ~ Present
Senior Developer
More than one year
Hadoop
Hive
Scala
Employed
Full-time
6-10 years
West Bengal University Of Technology
Bachelor of Technology : Computer Science and Engineering
Avatar of the user.
Big data developer
More than one year
hadoop ecosystem
Python
Scala
Full-time / Interested in working remotely
6-10 years
JNTUH
Computer science
Avatar of Subhashree Bhattacharjee.
Avatar of Subhashree Bhattacharjee.
Past
Presales Specialist @Locobuzz
2023 ~ 2023
Project Manager, Product Operations, Product Support, Program Manager
Within one month
Subhashree Bhattacharjee Brand Manager and Communication Gurugram, Haryana, India Dynamic and results-driven professional with a proven track record in communication strategy and brand management, backed by an MBA degree. Armed with a blend of strategic vision and hands-on experience. I excel in crafting compelling narratives that resonate with target audiences and elevate brand presence. Work Experience Presales Specialist • Locobuzz MayDecemberCreating marketing strategies - Introduce and represent brands - Shaking Hands and Meeting with Big Brands like Finolex, Traya, Lupin, etc. - Client Co-ordination and Engagement Corporate Recruiter & Customer Success • Omm IT Solution AprilAprilTalent Acquisition Strategy Development
Communication
Jira
CRM software
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
CHANDIGARH UNIVERSITY
Entrepreneurship
Avatar of Rahul Yadav.
Avatar of Rahul Yadav.
Lead Consultant @Apps Associates
2017 ~ Present
More than one year
Rahul Yadav Senior software QA/Tester with full system development lifecycle experience, including designing, developing and implementing test plans, test cases and test processes . Hands-on technology professional and QA accustomed to working in complex, project-based environments. Noida, Uttar Pradesh, India Work Experience Lead Consultant • Apps Associates OctoberPresent Serve as a key member of software development team as the lead QA tester on development projects for one of the big four of the consulting worlds. Supervise a 3-member software QA testing team in developing and implementing quality-assurance and quality-control methodologies using the
Selenium WebDriver
Rest Assured
Cypress.IO
Full-time / Interested in working remotely
6-10 years
Lovely Professional University
Computer Science And Engineering
Avatar of Chhatarshal SIngh.
Avatar of Chhatarshal SIngh.
Senior Software Engineer @QuarkExpress Pvt. Ltd
2017 ~ Present
More than one year
Chhatarshal SIngh Software Engineer with 8 + years of experience. Worked in various domains, like Publishing, Banking, Telecom. Worked on technologies like Java, Spring, Spring Boot, Microservice, JavaScript, React, Python, Tensor Flow, Keras. I have been working on SAS applications for the last 2 years. Chandigarh, India Work Experience Senior Software Engineer • QuarkXPress Pvt. Ltd MayPresent Working as a software developer on the SAS platform, developing Quarks cloud-based products for customers. Working closely with big clients (mostly banks) and providing them with professional services. Deploying and customizing Quark products in client's
java
JavaScript
Python
Full-time / Interested in working remotely
6-10 years
Maharishi Markandeshwar Engineering College (Mullana)
Bachelor Of Technology ( B.Tech)
Avatar of Manish Untwal.
Avatar of Manish Untwal.
Lead Platform Engineer @Paysense Pte Ltd
Team Lead Backend
More than one year
Manish Untwal I have completed my B.tech (Information Technology) from IIIT Allahabad and have over 6 years of experience in backend development, managed a big team as an Engineering Manager at Housing.com. Mostly focused on getting better out of people as a leader. Lead Platform Engineer - Paysense Pte Ltd. Gurgaon, India [email protected] |Skills Languages Ruby Python C/C++ (Basic) Core Java (Basic) Shell SQL Frameworks and Tools Django Ruby On Rails Jquery Sublime Text Portege Git Jira Airflow DataBase Postgresql Redis CouchDB Redshift Elasticsearch Platforms RabbitMQ
python
Ruby on Rails
django
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
Indian Institute of Information Technology
Information Technology

The Most Lightweight and Effective Recruiting Plan

Search resumes and take the initiative to contact job applicants for higher recruiting efficiency. The Choice of Hundreds of Companies.

  • Browse all search results
  • Unlimited access to start new conversations
  • Resumes accessible for only paid companies
  • View users’ email address & phone numbers
Search Tips
1
Search a precise keyword combination
senior backend php
If the number of the search result is not enough, you can remove the less important keywords
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
Only public resumes are available with the free plan.
Upgrade to an advanced plan to view all search results including tens of thousands of resumes exclusive on CakeResume.

Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Within two months
Lead Software Engineer
Logo of Confidential.
Confidential
2016 ~ Present
India
Professional Background
Current status
Employed
Job Search Progress
Professions
Back-end Engineer, Data Engineer, Machine Learning Engineer
Fields of Employment
Big Data, Blockchain, Software
Work experience
6-10 years
Management
I've had experience in managing 1-5 people
Skills
Python
Rust
Java
Golang
Machine Learning
Blockchain
Solana
Solidity
Languages
English
Professional
Hindi
Professional
Marathi
Professional
Job search preferences
Positions
Job types
Full-time
Locations
Remote
Remote Only
Freelance
Yes, I'm currently a full-time freelancer
Educations
School
Hiray College
Major
Computer Science
Print

Vinay Sawant


Versatile Software Engineer

Current Position Core Distributed Protocol Engineer
Mumbai City, IN
[email protected]

Github: [email protected]

Expertise in Blockchain, Backend Development, Data Engineering,ML

About Me

I have spent the last 3.5 years dedicated to the Blockchain space, where I have been instrumental in building consensus for Layer 1 blockchain networks from the ground up (Proof of DTS and Proof of Claim). This specialized expertise has given me a unique perspective and a deep understanding of the intricacies involved.

With over 10 years of experience in the software industry, I am a highly accomplished professional specializing in designing and developing enterprise/cloud solutions. My expertise spans across E-Commerce, Fintech, and Healthcare industries, where I have consistently delivered sophisticated products driven by advanced analytics and machine learning. What sets me apart is my passion for cutting-edge technologies.

I am deeply engrossed in Blockchain, DeFi, Backend Development, Distributed Systems, Data Engineering, and ML.

 My strength lies in constructing high-QPS distributed systems, with a particular focus on data-intensive and low-latency applications. This skill set has allowed me to create robust solutions that meet the demanding requirements of various industries.

Currently exploring the Boundless Realm of Zero-Knowledge Proofs and Verifiable Computations.

Skills

Programming Languages:

  • Rust
  • Java
  • Golang
  • Python
  • NodeJS
  • Zig

Technologies:

  • Distributed Systems
  • Machine Learning
  • Blockchain
  • NoSQls
  • Messaging Queues
  • Cloud

Cloud Platform:

  • GCP
  • AWS

Blockchain:

  • Layer 1's
  • Bls Signatures
  • DHT
  • Threshold Signatures
  • Substrate
  • Layer 2
  • Smart Contracts Development
  • Consensus Algorithms (Proof of DTS and Proof of Claim)
  • Zero-Knowledge Proofs

Work Experience


Core Distributed Systems Engineer-Versatus Labs (August 2022-Current)

  • Experienced in L1 blockchain development, focusing on computationally lightweight block mining and consensus algorithms. 
  •  Significant contributions to the implementation of DKG, Threshold signatures, Quorum Election, and Token Emission Methodology. -
  • Designed and developed Left Right Concurrency over Mempool, enabling efficient broadcast over UDP through the use of RaptorQ in the networking stack. -
  • Led the creation of a Decentralized Task Scheduler, optimizing network utilization with the FarmerHarvester Quorum. 
  •  Currently engaged in research and exploration of innovative techniques to detect and address malicious network activity.
  • Worked on metrics integration using Prometheus,also worked on storage layer for IPFS .
  • Some of my contributions: https://versatus.io/library/farmer-harvester-bft.pdf

Technology: RUST


Rust Engineer -SupraOracles ( July 2021 -July 2022 )

  • Collaborated with world-renowned PhDs from some of the top universities to develop a Hybrid Consensus (Proof of DTS) for Layer 1 blockchain at a fast-growing startup. 
  •  Designed and implemented modules for critical components, including nested DKG, Transaction Engine, Tribe Clan Model, Batch Proposer, Block Proposer, Threshold Signer, and BLS Sig Aggregator. 
  • Actively participated in building and refining the Hybrid Consensus algorithm for robustness and scalability. - Played a key role in optimizing the performance of the consensus mechanism for high throughput and low latency.
  • Conducted thorough testing and debugging to ensure the reliability and security of implemented modules.
  • Contributed to architectural discussions and provided technical insights to enhance the overall blockchain ecosystem.
  • Actively participated in code reviews and mentored junior team members to maintain code quality and best practices.


Technology: RUST


SuperMoney (Technical Architect)  June 2016 -June 2021

  • Worked as Technical Architect for Fintech services development.
  • Built a powerful backend infrastructure utilizing MicroServices with REST/gRPC APIs.
  • Developed a Real-Time Notification Engine to send customer reminder notifications for repayments and eligibility for new loan products. 
  • Implemented a system with a calibrated ML model that reduced the likelihood of loan defaults by 40%.
  •  Created a Deep Learning model for document identification (e.g., PAN card, cheque) and performed OCR on PAN, Aadhar, Cheque, Insurance documents, etc.
  •  Constructed a text analytical engine that profiles expenses and cash inflow from SMS messages.

Software Engineer-BookMyShow (Aug 2014 - May 2016) 

  •  Solved problem of Cold-Start Recommendation Engine for recommending music using Audio Data. 
  •  Solved problem of Seat Occupancy by pinging 5k+ Cinemas for real-time seat allocation. 
  • Worked on solving large-scale data engineering problems by building large pipelines. 
  •  Built backend microservices using gRPC/REST in Golang. 
  •  Was also part of DevOps for deployment of Machine Learning Services.

BI Consultant Team Computers-Mercedes (Aug 2013 - Feb 2014)

  • Worked as a trainee, gaining hands-on experience in Business Intelligence (BI) tools. 
  • Focused on QlikView and utilized it to build visually appealing and interactive dashboards for marketing analytics. 
  • Explored data insights, enabling the marketing team to make data-driven decisions and optimize their strategies.
  • Gained proficiency in data visualization techniques, transforming complex data into intuitive and actionable visuals.
  • Developed a solid foundation in BI concepts and tools, paving the way for future projects and career growth.

Blockchain

Revolutionary Consensus: Unleashing a Novel Era for Blockchain Technology

Objective: Pioneering a Novel Consensus(Proof of DTS) Mechanism for Layer 1 Blockchain to Enhance Security, Speed, and Finality, Redefining the Future of Decentralized Systems.
  • Collaborating with leading PhDs in Cryptography, actively involved in implementing a highly scalable and fast consensus engine.
  • Contributed to cutting-edge developments such as Nested DKG, Tribe Clan Model for Consensus, and Bls Signatures. 
  • Took part in building L1 (Layer 1) from scratch, showcasing expertise in blockchain development and architecture.
  • This experience highlights working on groundbreaking solutions and collaborating with top experts in the field, contributing to advancements in the consensus and blockchain domain.

Technology: Rust 

NFT Market:

Objective: Design an application that covers the creation of an interactive NFT marketplace where users can buy, sell or bit NFT Collectibles.
 Also, it has 
  •  Next Js Integration with Web3 and Blockchain.
  •  Smart contracts are written in Solidity
  • Link: NFT Market

Marketplace application:

Objective: Design an application that covers the creation of an interactive marketplace. Clients of this application will purchase courses(students can choose products of their choice) with Ether. 
Page with real-time updates of Ether and course prices compared to the USD. 
 Also, it has 
  •  Next Js Integration with Web3 and Blockchain.
  •  Creation of a more complicated Solidity Smart Contract.
  •  Email hashing and order verification feature.
  • Testing solution for testing smart contract.
  •  Pagination and Filtering of orders

Link: Courses MarketPlace

Decentralized Exchange for ERC20 tokens (Dharma/ETH):

Objective: Create a decentralized cryptocurrency exchange (dEx) powered by Ethereum smart contracts!

Designed frontend in React-Js for exchange.

Wrote smart contracts for depositing/Withdrawing and placing orders for Dharma Tokens.

Added Tests for testing features of smart contracts


Link: Kartavya Decentralized Exchange

ML Projects

Empowering Document OCR: Harnessing Python for Accurate Text Extraction

Objective: To fetch information from documents by OCR 
  • Successfully implemented OCR on various documents like PAN, Aadhar Front, and Aadhar Back, providing accurate user-level data, including photographs. 
  • Employed progressive calibration networks to achieve rotation invariance, enabling efficient extraction of photos from the documents. 
  • Designed and developed a robust API for generating QR codes for UPI payments, facilitating seamless and secure transactions. 
  • Created an advanced API capable of measuring similarity between two names, enhancing data processing and matching capabilities.
  • Developed a reliable API that validates Aadhar numbers using the Verhoeff algorithm, ensuring data integrity and authenticity.

Deep Neural Networks for Accurate Document Detection

  • Developed a robust CNN model using transfer learning with ResNet50 to accurately identify document types such as PAN, Aadhar Front, Aadhar Back, and Cheque.
  • Extensively trained the model, fine-tuning it with additional layers to achieve high accuracy in document classification. 
  • Assumed full responsibility for model training, creation, and deployment, ensuring seamless integration into the company's document processing pipeline. 
  • Leveraged Python and the Connexion framework to create a powerful API, enabling efficient interaction with the document classification model. 
  • Implemented Docker for containerization, streamlining deployment and scaling processes, resulting in significant cost savings for the company.
  •  Notably, the successful implementation of the model and API resulted in reduced false OCR instances, contributing to substantial operational cost savings.

CardioDetect: An Innovative Approach to Cardiovascular Disease Detection

Objective: To design a system for detecting cardiovascular disease.

  • Led end-to-end deployment, testing, monitoring, and retraining efforts for a document detection project, encompassing every stage from Exploratory Data Analysis (EDA) to Model Creation and Deployment.
  •  Assumed full responsibility for the detailed EDA phase, identifying key insights and patterns to inform the subsequent model creation process. 
  • Successfully developed and deployed the document detection model, rigorously testing its performance to ensure high accuracy and reliability.
  •  Implemented robust monitoring mechanisms to continuously track the model's performance and detect any deviations or anomalies. 
  • Achieved a remarkable Recall of 82% using F2 score as the evaluation metric, showcasing the model's effectiveness in correctly identifying relevant documents. 
  • The project's GitHub repository (https://github.com/vinay10949/CVD) serves as a testament to the dedication and excellence put into this endeavor, providing valuable insights for the broader community.

DeepGuard: Empowering SmartBackground Verification with Neural Networks

Objective: To use automate the problem of background verification. 
  • Developed an advanced eye detection system by extracting eye descriptors and calculating the Eye Aspect Ratio (EAR) for consecutive frames, enabling accurate detection of blinking patterns in individuals.
  •  Designed and implemented a Face-Verification module, revolutionizing profile photo authentication by comparing them with document photos, ensuring enhanced security and identity verification.
  • Pioneered the creation of a powerful Name & Address similarity engine, utilizing cosine similarity and Levenshtein Distance to facilitate efficient data matching and verification.
  • Assumed a central role in the end-to-end development process, from detailed Exploratory Data Analysis to model creation, deployment, testing, monitoring, and retraining. 

Short-Term Loan Default Prediction for Enhanced Financial Stability

Objective: To develop a robust and predictive model capable of early identification and classification of loan defaulters, empowering financial institutions with actionable insights to mitigate risk, improve decision-making

  • Led data engineering and data pipelining efforts, ensuring seamless data processing and analysis for our customer base.
  •  Conducted detailed analysis of customer data, extracting valuable insights to inform business strategies and decision-making processes. 
  • Successfully trained and tested a predictive model to identify first-time customers at risk of defaulting on a 5000 Rupee product loan. 
  • Achieved an exceptional F-Beta Score of 0.79, showcasing the model's high accuracy and reliability in predicting loan defaults. 
  • Spearheaded a groundbreaking initiative resulting in a significant 40% drop in loan default rates, enhancing financial stability and customer trust. 

Music Recommendation Engine

ObjectivePioneering User-Centric Music Experience: Develop a Cutting-Edge Solution to Address the Cold Start Challenge, Elevate User Engagement, and Acquire Actionable User Data on the Music Application.

  • Successfully tackled the Cold Start problem and improved user engagement on a music application. 
  • Utilized Music Information Retrieval (MIR) from the Vienna University library, incorporating features like rhythm patterns and temporal descriptors (approx. 2000 dimensions per song). 
  • Implemented Locality Sensitive Hashing and the Epsilon Greedy Approach for robust music recommendations. 
  • Technology stack: Python, Protobuf, Konga, Redis. 
  • Achieved real-time music recommendations for a user base of 50 million users, solving the Cold Start challenge effectively.

BackEnd Developer Projects

Kartavya: Empowering Efficiency with the Delayed Queue

Objective: Enhance Operational Efficiency through Delayed and Real-time Notifications, Enabling Seamless Delivery of Close to 100 Million Notifications Per Day.

  • Designed and developed the Delayed Queue Code Named "Kartavya," an intelligent queue system capable of enqueueing delayed actions and executing them at scheduled times.
  •  Implemented Delay push messaging for reliable and at-least-once delivery, along with a fail and retry mechanism, ensuring robustness and data integrity.
  • Developed a set of 3 REST API calls to enable seamless message pushing, querying schedules, and deleting schedules from the queue, providing efficient user interaction.
  • Leveraged cutting-edge technologies such as Redis, Golang, and AWS Cloud to build a cost-effective and highly efficient system, optimizing performance and scalability.
  • The result was a successful implementation of the system, which streamlined processes, reduced costs, and significantly increased overall efficiency.

Streamlining Video Identity Verification for Karza and Signzy

  • Developed a cutting-edge Microservice to encapsulate the business logic for Video KYC of Karza and Signzy. 
  • Leveraged Golang to create a robust and efficient solution, ensuring seamless execution of the Video KYC process.
  • Successfully integrated the Microservice with the Karza and Signzy platforms, enhancing their capabilities for identity verification and compliance. T
  • The Microservice enabled streamlined and secure Video KYC processes, providing a seamless user experience for customers.
  • Played a pivotal role in ensuring data privacy, security, and compliance with regulatory requirements throughout the Video KYC workflow.
  • This Microservice significantly contributed to improving the overall efficiency and accuracy of Video KYC operations for both Karza and Signzy, solidifying their positions as leaders in the industry.

Data Pipeline: Efficient Data Migration from AWS Athena to BigQuery 

  • Designed and constructed large-scale data pipelines for seamless data migration from AWS Athena to BigQuery, enabling efficient and effective analytics.
  • Leveraged Python Celery for multiprocessing, optimizing data processing and significantly reducing processing time.
  • Successfully orchestrated the entire data migration process, ensuring data integrity and accuracy throughout the transfer. 
  • Played a key role in enhancing the analytics capabilities of the organization by providing a reliable and scalable data pipeline solution.
  • This project showcased expertise in handling big data, multiprocessing, and cloud services, contributing to improved data-driven decision-making and business insights.

Empowering SuperMoney: Creating and Managing Backend API (2016-2021)

  • Developed and managed the entire backend for the SuperMoney product, utilizing Spring Hibernate for seamless API integration.
  • Leveraged expertise in the Spring Framework, particularly Spring MVC, to design and implement robust and efficient REST APIs.
  • Demonstrated strong proficiency in Spring IO and Spring Boot, ensuring smooth and reliable application performance.
  • Successfully maintained and enhanced the backend system since 2016, providing ongoing support and continuous improvements.
  • This experience showcases a comprehensive understanding of backend development and Spring technologies, enabling the successful delivery and maintenance of SuperMoney's backend API.

Eventify: Empowering Real-Time Notifications with the Event Notification Engine

Objective: Pioneering a Golang Web Service: Develop an Innovative Notification System Utilizing Google Cloud Pub/Sub for Real-Time Event Communication.

  • Developed a high-performance GRPC-based web service in Golang, enabling seamless communication and data transfer between clients and the server.
  • Created a robust processor that actively listens to subscribers and efficiently sends notifications to users, ensuring real-time updates and engagement.
  • Assumed a key role in the end-to-end deployment of the system into Docker containers, optimizing scalability and resource utilization. 
  • Actively contributed to the High-Level System Design, shaping the architecture and ensuring a cohesive and efficient solution.
  • Leveraged Golang's powerful capabilities to build a reliable and performant system, resulting in a seamless user experience and enhanced notification delivery.


GPS RT Service: Efficiently Processing and Analyzing GPS Coordinates in Real-Time

  • Developed a high-performance logger service in Golang capable of handling millions of GPS coordinate writes every 10 seconds, extensively utilizing channels for efficient data processing.
  • Implemented detailed summary statistics for GPS coordinates, calculating metrics such as daily distance traveled and identifying potential home locations for users.
  • Assumed a key role in the end-to-end deployment of the system into Docker containers, ensuring seamless scalability and reliability.
  • Actively contributed to the High-Level System Design, shaping the architecture to accommodate high throughput and real-time processing requirements. T
  • This project for Supermoney showcased expertise in Golang, Docker, and data analytics, resulting in a powerful logger service that efficiently processed and analyzed vast amounts of GPS data, facilitating valuable insights and enhanced user experience.

SeatOccupancy Insights: Unleashing Real-Time Seat Data Retrieval from 5000+ Cinemas

Objective: Efficient Seat Allocation Data Retrieval: Develop a Scalable Solution to Pull Real-Time Seat Data from 5000+ Cinemas through Intelligent Pinging.

  • Successfully achieved the objective of pulling data from 5000+ cinemas for seat allocation by developing a robust seat occupancy module.
  • Implemented a smart scheduling mechanism to ping 2500 cinemas at specified intervals, capturing real-time seat occupancy data and storing it in a queuing system for further processing.
  • Designed and integrated a SeatOccupancy engine to display real-time seat allocations in cinemas, providing users with up-to-date seat availability information.
  • Effectively tackled race conditions during peak seasons when multiple users were concurrently booking seats, ensuring smooth and conflict-free seat reservations.
  • Utilized a powerful technology stack comprising Node.js, RabbitMQ, MySQL, and Golang, enabling efficient high I/O operations and seamless storage of seat allocation data.
  • This accomplishment showcases the ability to handle high-scale data processing and deliver real-time results, providing an enhanced user experience for cinema-goers. 

Education

Masters in Computer Applications 2010-2013 

Computer Science Major (Full Time)

Bachelors in Computer Science 2007-2010

Computer Science Major

Personal Details

DOB :25-08-1989

Birth Place :Mumbai.

Languages: English, Hindi and Marathi.

Marital status : Single

Resume
Profile

Vinay Sawant


Versatile Software Engineer

Current Position Core Distributed Protocol Engineer
Mumbai City, IN
[email protected]

Github: [email protected]

Expertise in Blockchain, Backend Development, Data Engineering,ML

About Me

I have spent the last 3.5 years dedicated to the Blockchain space, where I have been instrumental in building consensus for Layer 1 blockchain networks from the ground up (Proof of DTS and Proof of Claim). This specialized expertise has given me a unique perspective and a deep understanding of the intricacies involved.

With over 10 years of experience in the software industry, I am a highly accomplished professional specializing in designing and developing enterprise/cloud solutions. My expertise spans across E-Commerce, Fintech, and Healthcare industries, where I have consistently delivered sophisticated products driven by advanced analytics and machine learning. What sets me apart is my passion for cutting-edge technologies.

I am deeply engrossed in Blockchain, DeFi, Backend Development, Distributed Systems, Data Engineering, and ML.

 My strength lies in constructing high-QPS distributed systems, with a particular focus on data-intensive and low-latency applications. This skill set has allowed me to create robust solutions that meet the demanding requirements of various industries.

Currently exploring the Boundless Realm of Zero-Knowledge Proofs and Verifiable Computations.

Skills

Programming Languages:

  • Rust
  • Java
  • Golang
  • Python
  • NodeJS
  • Zig

Technologies:

  • Distributed Systems
  • Machine Learning
  • Blockchain
  • NoSQls
  • Messaging Queues
  • Cloud

Cloud Platform:

  • GCP
  • AWS

Blockchain:

  • Layer 1's
  • Bls Signatures
  • DHT
  • Threshold Signatures
  • Substrate
  • Layer 2
  • Smart Contracts Development
  • Consensus Algorithms (Proof of DTS and Proof of Claim)
  • Zero-Knowledge Proofs

Work Experience


Core Distributed Systems Engineer-Versatus Labs (August 2022-Current)

  • Experienced in L1 blockchain development, focusing on computationally lightweight block mining and consensus algorithms. 
  •  Significant contributions to the implementation of DKG, Threshold signatures, Quorum Election, and Token Emission Methodology. -
  • Designed and developed Left Right Concurrency over Mempool, enabling efficient broadcast over UDP through the use of RaptorQ in the networking stack. -
  • Led the creation of a Decentralized Task Scheduler, optimizing network utilization with the FarmerHarvester Quorum. 
  •  Currently engaged in research and exploration of innovative techniques to detect and address malicious network activity.
  • Worked on metrics integration using Prometheus,also worked on storage layer for IPFS .
  • Some of my contributions: https://versatus.io/library/farmer-harvester-bft.pdf

Technology: RUST


Rust Engineer -SupraOracles ( July 2021 -July 2022 )

  • Collaborated with world-renowned PhDs from some of the top universities to develop a Hybrid Consensus (Proof of DTS) for Layer 1 blockchain at a fast-growing startup. 
  •  Designed and implemented modules for critical components, including nested DKG, Transaction Engine, Tribe Clan Model, Batch Proposer, Block Proposer, Threshold Signer, and BLS Sig Aggregator. 
  • Actively participated in building and refining the Hybrid Consensus algorithm for robustness and scalability. - Played a key role in optimizing the performance of the consensus mechanism for high throughput and low latency.
  • Conducted thorough testing and debugging to ensure the reliability and security of implemented modules.
  • Contributed to architectural discussions and provided technical insights to enhance the overall blockchain ecosystem.
  • Actively participated in code reviews and mentored junior team members to maintain code quality and best practices.


Technology: RUST


SuperMoney (Technical Architect)  June 2016 -June 2021

  • Worked as Technical Architect for Fintech services development.
  • Built a powerful backend infrastructure utilizing MicroServices with REST/gRPC APIs.
  • Developed a Real-Time Notification Engine to send customer reminder notifications for repayments and eligibility for new loan products. 
  • Implemented a system with a calibrated ML model that reduced the likelihood of loan defaults by 40%.
  •  Created a Deep Learning model for document identification (e.g., PAN card, cheque) and performed OCR on PAN, Aadhar, Cheque, Insurance documents, etc.
  •  Constructed a text analytical engine that profiles expenses and cash inflow from SMS messages.

Software Engineer-BookMyShow (Aug 2014 - May 2016) 

  •  Solved problem of Cold-Start Recommendation Engine for recommending music using Audio Data. 
  •  Solved problem of Seat Occupancy by pinging 5k+ Cinemas for real-time seat allocation. 
  • Worked on solving large-scale data engineering problems by building large pipelines. 
  •  Built backend microservices using gRPC/REST in Golang. 
  •  Was also part of DevOps for deployment of Machine Learning Services.

BI Consultant Team Computers-Mercedes (Aug 2013 - Feb 2014)

  • Worked as a trainee, gaining hands-on experience in Business Intelligence (BI) tools. 
  • Focused on QlikView and utilized it to build visually appealing and interactive dashboards for marketing analytics. 
  • Explored data insights, enabling the marketing team to make data-driven decisions and optimize their strategies.
  • Gained proficiency in data visualization techniques, transforming complex data into intuitive and actionable visuals.
  • Developed a solid foundation in BI concepts and tools, paving the way for future projects and career growth.

Blockchain

Revolutionary Consensus: Unleashing a Novel Era for Blockchain Technology

Objective: Pioneering a Novel Consensus(Proof of DTS) Mechanism for Layer 1 Blockchain to Enhance Security, Speed, and Finality, Redefining the Future of Decentralized Systems.
  • Collaborating with leading PhDs in Cryptography, actively involved in implementing a highly scalable and fast consensus engine.
  • Contributed to cutting-edge developments such as Nested DKG, Tribe Clan Model for Consensus, and Bls Signatures. 
  • Took part in building L1 (Layer 1) from scratch, showcasing expertise in blockchain development and architecture.
  • This experience highlights working on groundbreaking solutions and collaborating with top experts in the field, contributing to advancements in the consensus and blockchain domain.

Technology: Rust 

NFT Market:

Objective: Design an application that covers the creation of an interactive NFT marketplace where users can buy, sell or bit NFT Collectibles.
 Also, it has 
  •  Next Js Integration with Web3 and Blockchain.
  •  Smart contracts are written in Solidity
  • Link: NFT Market

Marketplace application:

Objective: Design an application that covers the creation of an interactive marketplace. Clients of this application will purchase courses(students can choose products of their choice) with Ether. 
Page with real-time updates of Ether and course prices compared to the USD. 
 Also, it has 
  •  Next Js Integration with Web3 and Blockchain.
  •  Creation of a more complicated Solidity Smart Contract.
  •  Email hashing and order verification feature.
  • Testing solution for testing smart contract.
  •  Pagination and Filtering of orders

Link: Courses MarketPlace

Decentralized Exchange for ERC20 tokens (Dharma/ETH):

Objective: Create a decentralized cryptocurrency exchange (dEx) powered by Ethereum smart contracts!

Designed frontend in React-Js for exchange.

Wrote smart contracts for depositing/Withdrawing and placing orders for Dharma Tokens.

Added Tests for testing features of smart contracts


Link: Kartavya Decentralized Exchange

ML Projects

Empowering Document OCR: Harnessing Python for Accurate Text Extraction

Objective: To fetch information from documents by OCR 
  • Successfully implemented OCR on various documents like PAN, Aadhar Front, and Aadhar Back, providing accurate user-level data, including photographs. 
  • Employed progressive calibration networks to achieve rotation invariance, enabling efficient extraction of photos from the documents. 
  • Designed and developed a robust API for generating QR codes for UPI payments, facilitating seamless and secure transactions. 
  • Created an advanced API capable of measuring similarity between two names, enhancing data processing and matching capabilities.
  • Developed a reliable API that validates Aadhar numbers using the Verhoeff algorithm, ensuring data integrity and authenticity.

Deep Neural Networks for Accurate Document Detection

  • Developed a robust CNN model using transfer learning with ResNet50 to accurately identify document types such as PAN, Aadhar Front, Aadhar Back, and Cheque.
  • Extensively trained the model, fine-tuning it with additional layers to achieve high accuracy in document classification. 
  • Assumed full responsibility for model training, creation, and deployment, ensuring seamless integration into the company's document processing pipeline. 
  • Leveraged Python and the Connexion framework to create a powerful API, enabling efficient interaction with the document classification model. 
  • Implemented Docker for containerization, streamlining deployment and scaling processes, resulting in significant cost savings for the company.
  •  Notably, the successful implementation of the model and API resulted in reduced false OCR instances, contributing to substantial operational cost savings.

CardioDetect: An Innovative Approach to Cardiovascular Disease Detection

Objective: To design a system for detecting cardiovascular disease.

  • Led end-to-end deployment, testing, monitoring, and retraining efforts for a document detection project, encompassing every stage from Exploratory Data Analysis (EDA) to Model Creation and Deployment.
  •  Assumed full responsibility for the detailed EDA phase, identifying key insights and patterns to inform the subsequent model creation process. 
  • Successfully developed and deployed the document detection model, rigorously testing its performance to ensure high accuracy and reliability.
  •  Implemented robust monitoring mechanisms to continuously track the model's performance and detect any deviations or anomalies. 
  • Achieved a remarkable Recall of 82% using F2 score as the evaluation metric, showcasing the model's effectiveness in correctly identifying relevant documents. 
  • The project's GitHub repository (https://github.com/vinay10949/CVD) serves as a testament to the dedication and excellence put into this endeavor, providing valuable insights for the broader community.

DeepGuard: Empowering SmartBackground Verification with Neural Networks

Objective: To use automate the problem of background verification. 
  • Developed an advanced eye detection system by extracting eye descriptors and calculating the Eye Aspect Ratio (EAR) for consecutive frames, enabling accurate detection of blinking patterns in individuals.
  •  Designed and implemented a Face-Verification module, revolutionizing profile photo authentication by comparing them with document photos, ensuring enhanced security and identity verification.
  • Pioneered the creation of a powerful Name & Address similarity engine, utilizing cosine similarity and Levenshtein Distance to facilitate efficient data matching and verification.
  • Assumed a central role in the end-to-end development process, from detailed Exploratory Data Analysis to model creation, deployment, testing, monitoring, and retraining. 

Short-Term Loan Default Prediction for Enhanced Financial Stability

Objective: To develop a robust and predictive model capable of early identification and classification of loan defaulters, empowering financial institutions with actionable insights to mitigate risk, improve decision-making

  • Led data engineering and data pipelining efforts, ensuring seamless data processing and analysis for our customer base.
  •  Conducted detailed analysis of customer data, extracting valuable insights to inform business strategies and decision-making processes. 
  • Successfully trained and tested a predictive model to identify first-time customers at risk of defaulting on a 5000 Rupee product loan. 
  • Achieved an exceptional F-Beta Score of 0.79, showcasing the model's high accuracy and reliability in predicting loan defaults. 
  • Spearheaded a groundbreaking initiative resulting in a significant 40% drop in loan default rates, enhancing financial stability and customer trust. 

Music Recommendation Engine

ObjectivePioneering User-Centric Music Experience: Develop a Cutting-Edge Solution to Address the Cold Start Challenge, Elevate User Engagement, and Acquire Actionable User Data on the Music Application.

  • Successfully tackled the Cold Start problem and improved user engagement on a music application. 
  • Utilized Music Information Retrieval (MIR) from the Vienna University library, incorporating features like rhythm patterns and temporal descriptors (approx. 2000 dimensions per song). 
  • Implemented Locality Sensitive Hashing and the Epsilon Greedy Approach for robust music recommendations. 
  • Technology stack: Python, Protobuf, Konga, Redis. 
  • Achieved real-time music recommendations for a user base of 50 million users, solving the Cold Start challenge effectively.

BackEnd Developer Projects

Kartavya: Empowering Efficiency with the Delayed Queue

Objective: Enhance Operational Efficiency through Delayed and Real-time Notifications, Enabling Seamless Delivery of Close to 100 Million Notifications Per Day.

  • Designed and developed the Delayed Queue Code Named "Kartavya," an intelligent queue system capable of enqueueing delayed actions and executing them at scheduled times.
  •  Implemented Delay push messaging for reliable and at-least-once delivery, along with a fail and retry mechanism, ensuring robustness and data integrity.
  • Developed a set of 3 REST API calls to enable seamless message pushing, querying schedules, and deleting schedules from the queue, providing efficient user interaction.
  • Leveraged cutting-edge technologies such as Redis, Golang, and AWS Cloud to build a cost-effective and highly efficient system, optimizing performance and scalability.
  • The result was a successful implementation of the system, which streamlined processes, reduced costs, and significantly increased overall efficiency.

Streamlining Video Identity Verification for Karza and Signzy

  • Developed a cutting-edge Microservice to encapsulate the business logic for Video KYC of Karza and Signzy. 
  • Leveraged Golang to create a robust and efficient solution, ensuring seamless execution of the Video KYC process.
  • Successfully integrated the Microservice with the Karza and Signzy platforms, enhancing their capabilities for identity verification and compliance. T
  • The Microservice enabled streamlined and secure Video KYC processes, providing a seamless user experience for customers.
  • Played a pivotal role in ensuring data privacy, security, and compliance with regulatory requirements throughout the Video KYC workflow.
  • This Microservice significantly contributed to improving the overall efficiency and accuracy of Video KYC operations for both Karza and Signzy, solidifying their positions as leaders in the industry.

Data Pipeline: Efficient Data Migration from AWS Athena to BigQuery 

  • Designed and constructed large-scale data pipelines for seamless data migration from AWS Athena to BigQuery, enabling efficient and effective analytics.
  • Leveraged Python Celery for multiprocessing, optimizing data processing and significantly reducing processing time.
  • Successfully orchestrated the entire data migration process, ensuring data integrity and accuracy throughout the transfer. 
  • Played a key role in enhancing the analytics capabilities of the organization by providing a reliable and scalable data pipeline solution.
  • This project showcased expertise in handling big data, multiprocessing, and cloud services, contributing to improved data-driven decision-making and business insights.

Empowering SuperMoney: Creating and Managing Backend API (2016-2021)

  • Developed and managed the entire backend for the SuperMoney product, utilizing Spring Hibernate for seamless API integration.
  • Leveraged expertise in the Spring Framework, particularly Spring MVC, to design and implement robust and efficient REST APIs.
  • Demonstrated strong proficiency in Spring IO and Spring Boot, ensuring smooth and reliable application performance.
  • Successfully maintained and enhanced the backend system since 2016, providing ongoing support and continuous improvements.
  • This experience showcases a comprehensive understanding of backend development and Spring technologies, enabling the successful delivery and maintenance of SuperMoney's backend API.

Eventify: Empowering Real-Time Notifications with the Event Notification Engine

Objective: Pioneering a Golang Web Service: Develop an Innovative Notification System Utilizing Google Cloud Pub/Sub for Real-Time Event Communication.

  • Developed a high-performance GRPC-based web service in Golang, enabling seamless communication and data transfer between clients and the server.
  • Created a robust processor that actively listens to subscribers and efficiently sends notifications to users, ensuring real-time updates and engagement.
  • Assumed a key role in the end-to-end deployment of the system into Docker containers, optimizing scalability and resource utilization. 
  • Actively contributed to the High-Level System Design, shaping the architecture and ensuring a cohesive and efficient solution.
  • Leveraged Golang's powerful capabilities to build a reliable and performant system, resulting in a seamless user experience and enhanced notification delivery.


GPS RT Service: Efficiently Processing and Analyzing GPS Coordinates in Real-Time

  • Developed a high-performance logger service in Golang capable of handling millions of GPS coordinate writes every 10 seconds, extensively utilizing channels for efficient data processing.
  • Implemented detailed summary statistics for GPS coordinates, calculating metrics such as daily distance traveled and identifying potential home locations for users.
  • Assumed a key role in the end-to-end deployment of the system into Docker containers, ensuring seamless scalability and reliability.
  • Actively contributed to the High-Level System Design, shaping the architecture to accommodate high throughput and real-time processing requirements. T
  • This project for Supermoney showcased expertise in Golang, Docker, and data analytics, resulting in a powerful logger service that efficiently processed and analyzed vast amounts of GPS data, facilitating valuable insights and enhanced user experience.

SeatOccupancy Insights: Unleashing Real-Time Seat Data Retrieval from 5000+ Cinemas

Objective: Efficient Seat Allocation Data Retrieval: Develop a Scalable Solution to Pull Real-Time Seat Data from 5000+ Cinemas through Intelligent Pinging.

  • Successfully achieved the objective of pulling data from 5000+ cinemas for seat allocation by developing a robust seat occupancy module.
  • Implemented a smart scheduling mechanism to ping 2500 cinemas at specified intervals, capturing real-time seat occupancy data and storing it in a queuing system for further processing.
  • Designed and integrated a SeatOccupancy engine to display real-time seat allocations in cinemas, providing users with up-to-date seat availability information.
  • Effectively tackled race conditions during peak seasons when multiple users were concurrently booking seats, ensuring smooth and conflict-free seat reservations.
  • Utilized a powerful technology stack comprising Node.js, RabbitMQ, MySQL, and Golang, enabling efficient high I/O operations and seamless storage of seat allocation data.
  • This accomplishment showcases the ability to handle high-scale data processing and deliver real-time results, providing an enhanced user experience for cinema-goers. 

Education

Masters in Computer Applications 2010-2013 

Computer Science Major (Full Time)

Bachelors in Computer Science 2007-2010

Computer Science Major

Personal Details

DOB :25-08-1989

Birth Place :Mumbai.

Languages: English, Hindi and Marathi.

Marital status : Single