Worked for a fast-growing startup building Hybrid Consensus for Layer 1 blockchain in collaboration with some of the world's top PhDs. Built modules on nested DKG, Transaction Engine, Tribe Clan Model, Batch Proposer, BlockProposer, Threshold Signer, BLS Sig Aggregator etc Technology : RUST

Worked atTechnical Architect for building powerful services that power Fintech. Built entire backend powered with MicroServices using REST/GRPC apis. Built Real-Time Noti cation Engine that powers customer reminder noti cations for repayments and eligibility for a new loan product. Built system that prevented likelihood of loan defaults by 40% building powerful calibrated ML model Built Deep Learning model for identifying documents like pan card, cheque few more etc and doing OCR on to Pan, Aadhar, Cheque, Insurance documents etc. Built text analytical engine that pro les expenses and cash in ow from SMS's

Solved problem of Cold-Start Recommendation Engine for recommending music using Audio Data. Solved problem of Seat Occupancy by pinging 5k Cinemas for realtime 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

Worked as trainee . Worked on QlikView, built dashboards for marketing analytics. Blockchain Novel Consensus For Blockchain : Objective : Design novel consensus for layer 1 blockchain for Better security. Better speed. Better nality. Working on the implementation of a highly scalable and fast consensus engine in collaboration with some of the world's top PhDs in Cryptography. Worked on Nested DKG, Tribe Clan Model for Consensus, Bls Signatures. Worked on building L1 from scratch. 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 veri cation 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 Document OCR Python Objective : to fetch information from documents by OCR Done OCR on documents like PAN, Aadhar Front, Aadhar Back to give appropriate user-level data, including photo Used progressive calibration networks for rotation invariance to fetch photos from the document. Developed an API for generating QR-code for UPI payments Developed an API that will measure similarity between two names. Developed an API that validates Aadhar no using the Verhoe algorithm. Document Detection using Deep NeuralNets Objective : Create a model that can identify the type of document from images Developed a CNN model for identifying document types like PAN, AADHAR FRONT, AADHAR BACK, and CHEQUE. Use transfer learning ResNet50, added layers and trained it. Was responsible for model training, creation and deployment. Also created an API based on the Connexion framework. Technology : Python, Connexion, Docker Achievement : Saved huge cost for the company in doing preventing false OCR, saved operations cost Cardiovascular Disease Detection Hackathon Objective : to design a system for detecting cardiovascular disease. Role - End to End Deployment, Testing, Monitoring, Retraining Responsible for Detailed EDA, Model Creation, deployment, testing of model, monitoring and retraining approach Achievement : Obtained Recall of 82%, using F2 score as a metric. Link : https://github.com/vinay10949/CVD SmartBackGround Veri cation using DeepNeuralNets Objective : to use automate the problem of background veri cation. Identifying eye descriptors and then calculating EAR I.e eye aspect ratio for the consecutive frame to identify if the person in the frame is blinking his eyes or not. Built Face Veri cation module to verify pro le photos with document photos. Built Name & Address similarity engine which uses cosine similarity and Levenshtein Distance. Short Term Loan Default Prediction Python Objective : to create a model that can identify early loan defaulters. Performed data engineering, data pipelining and detailed analysis of our customers. Also, trained, tested model for predicting which rst time customer is likely to default 5000 Rupee product loan. Achievement : achieved 0.79 F-Beta Score, loan default rate dropped by 40%. Music Recommendation Engine Objective : Solve the Cold start problem, increase engagement, Collect data of users on the music application Used Music Information Retrieval MIR from the library by Vienna university Used features like rhythm pattern, temporal descriptor, etc Approx 2000dimensions of one song Used Locality Sensitive Hashing algorithm , Episilon Greedy Approach for recommendation Technology : Python, Protobuf, Konga, Redis Result : Solved Cold start Real-time music recommendation engine for use base of 50million users BackEnd Developer Projects Kartavya Delayed Queue Objective : Increase e ciency of operations by delayed/real-time noti cations Close to 100Million Noti cations per day Delayed Queue Code Named Kartavya, is a smart queue which enqueue delayed actions inside the queue, then performs action at scheduled Time. Created Delay push message to the target, At-lease-once delivery, Fail and retry mechanism Queue is accessed via 3 Rest API calls, to push message, to query schedule, delete a schedule, Added to take a snapshot to Redis. Technology : Redis, Golang, AWS Cloud Result : Created the system with less cost and increased e ciency Kyc Microservice Developed a Microservice that encapsulates business logic for Video KYC of Karza and Signzy Technologies : Golang Data Pipelines Built large data pipelines that migrate data from AWS Athena to BigQuery for analytics. Used Python Celery for multiprocessing API Gateway setup Kong Was responsible for setting up API Gateway called Kong, Con gured all services and routes into Kong. Con gured plugins for ACL, OAuth2, Request Termination. Document Veri cation Service Created Golang GRPC powered micro-service for extracting data from documents like Aadhar Pan, and voterid using OCR. Also created aadhar e-signing document ow for signing documents via NSDL. Technologies : Golang