CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
India
曾任
Senior Associate @GreyCampus EduTech2014 ~ 2023
・
Senior Associate
一個月內
Raghupalreddy Vatti Hyderabad, Telangana, India || [email protected] Experienced professional with expertise in developing and optimizing stored procedures and functions using T-SQL, SQL Server, and MySQL to enhance database performance. Skilled in designing and implementing analytical data structures to support business intelligence and reporting needs. Proficient in managing critical databases to ensure data integrity, availability, and security. Experienced in diagnosing and resolving complex system issues using advanced debugging tools. Strong collaborator with cross-functional teams to integrate database functionality into web applications. Proven ability to create web-based dashboards and
待业中
・
正在积极求职中
全职 / 暂不考虑远端工作
6 到 10 年
Jyothishmathi institute of technology and science
・
M.Tech(VLSI Desin)
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
VIT-Vellore
・
Computer Science
Staff Engineer @NextGen Healthcare India2019 ~ 现在
・
Senior Software Developer
三個月內
quality bug fixes with a commitment to excellence. • Specialized in designing efficient MSI packages for optimal software deployment. Senior Engineer, Development • Aptean MarchDecember 2019 • Expert in analysing requirements and engineering scalable, robust solutions. • Proficient in crafting clean, efficient code utilizing ASP.Net MVC, C#, and SQL. • Skilled in documenting processes and optimizing system performance. • Committed to continuous learning to remain at the forefront of technology advancements. Senior Software Engineer • CBSI INDIA PVT LTD MayFebruary 2018 • Spearheaded development on Project HP Eclipse utilizing HP ALM, DevExpress, ASP.Net, API, and SQL to
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
North Maharastra University, Jalgaon, Maharastra
・
Computer Science & Engineering
Front End Lead
超過一年
Ramesh Ramalingam Front End Developer/ Lead • [email protected] A full stack developer for 11 years in .Net Technologies & JavaScript frameworks like Angular 4 & 2. Interested in exploring new technologies like No SQL (MongoDB, Cassandra), UI design patterns. Practicing Agile SCRUM & KANBAN for last 5 years. Skills Languages JavaScript with Angular 4, 2 and jQuery, Type Script, Coffee Script, C#, HTML, SQL Frameworks BootStrap, Angular Material, Nancy Fx, Structure Map, Web API, MVC, Jasmine, Karma, nUnit, Gulp, Grunt, Angular Cli, Active MQ Database Mango DB, Cassandra, SQL Server and ElasticSearch Experience Cognizant
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
PGP College of Engineering & Technology
・
Information Technology
software engineer @NeoSOFT Technologies (A CMMi Level 5 Organization)2023 ~ 2023
・
Senior Software Engineer
一個月內
vikram gavli Mumbai, Maharashtra, [email protected] A systematic, organized, hardworking team player with an analytical bent of mind; reliable as a fully contributing, responsible & accountable member of task / project teams. Demonstrating technical proficiency in a high paced production environment & exercise judgment within defined procedures & practices to determine appropriate action.. Skills C# ASP.NET MVC5 API Development SQL Server Entity Framework Html, bootstrap, jquery Work Experience software engineer • NeoSOFT Technologies (A CMMi Level 5 Organization) JulyNovember 2023 | Mumbai Jewelry Shop Management System project is a web application which is developed in C
就职中
・
目前会考虑了解新的机会
全职 / 暂不考虑远端工作
6 到 10 年
NBWS High school
・
commerce
Android Developer @Arachnomesh Pvt Ltd2015 ~ 2017
・
Senior Mobile App Developer
兩個月內
VIPUL THAKUR Email: [email protected] Mobile:Experienced IOS(AVKit)/Android Developer with a demonstrated history of working in the computer software industry. Skilled in Swift, Java, Android Development, Team and Project Management. Strong engineering professional with a Bachelor's degree focused in Computer Science from Manav Rachana International University. South Delhi, New Delhi, Delhi, India Work Experience SDE2 (IOS) • Hotstar JunePresent Disney+ Hotstar is leading the way as the largest and smartest video platform in the country, reaching over 300 million users today. The company has set a number
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
Manav Rachana International University
・
Computer Science就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
Dehradun Institute Of Technology
・
B.E Information Technology
Senior Software Specialist/SQL Advisor
一個月內
and optimized SQL queries, views, and stored procedures, ensuring efficient data retrieval and manipulation in a multi-database environment. Enhanced existing reports by incorporating new system features and refining data presentation for improved decision-making. Proficient in developing XML Web Services, WCF services, WPF services, and creating/consuming Web APIs to facilitate seamless data exchange between applications. Utilized ADO.NET data objects for consistent access to SQL data sources, including Connection, Command, Data Adapter, Data Reader, Dataset, Data Table, and XML. Managed SQL Server Integration Services (SSIS) and SQL Server Repor...
就职中
全职 / 对远端工作有兴趣
6 到 10 年
Lead Software Engineer @Morningstar India Pvt Ltd2021 ~ 现在
・
Senior Software Engineer
一個月內
Angular 2+, Java, MS-SQL, Azure BIC-RMM : product used for managing measures of various initiatives like HEDIS, MIPS, etc., made using Angular, Java Spring, and MS-SQL. BIC-Framework : product used for submission of measures and getting certified by NCQA made using Angular , Java, and MS-SQL . Updated both web apps to Angular 9 from 4&2, implemented Lazy Loading and GZIP compression configuration through a custom web pack to improve performance. MIPS-Report : created web app from scratch using Angular 7, SSRS Report-Viewer library integrated with Java 8 and MS-SQL mostly
全职 / 对远端工作有兴趣
4 到 6 年
University of Mumbai
・
B.E. Electronics and Telecommunication EngineeringSales Management Executive - Global Private Banking and Transformation @HSBC2022 ~ 现在
・
Business Development, Product Manager, Project Management, Business Operations, Process Design
兩個月內
就职中
全职 / 对远端工作有兴趣
6 到 10 年
Hult International Business School
・
Business Analysis最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
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
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
超過一年
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ 现在
专业背景
目前状态
就学中
求职阶段
专业
后端开发人员
产业
软件
工作年资
小於 1 年
管理经历
技能
语言能力
English
・
专业
Hindi
・
母语或双语
求职偏好
希望获得的职位
Software Development Engineer
预期工作模式
兼职
期望的工作地点
Bangalore, Karnataka, India
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
PES University
主修科系
B.Tech Computer Science and Engineering
Work Experience
Software Engineer Intern, May 2020 ~ Jul 2020
Zscaler Softech India Private Limited|
Achievements/Tasks
- Worked in Security team that applies security policies on data like Data Loss Prevention, URL classification using ML techniques and Cloud Sandboxing.
- My work revolved around understanding, improvising and contributing to several components of CASB(Cloud Access Security Broker) like refactoring some code components, automating information scrapping from vendor websites and supporting daily difference functionality, enhancing some scripts and writing preprocessing script to handle additional vendor data.
- Also added C code for small features like structure flattening for efficient processing of data and fetching and displaying data from predefined X-Macro in particular format.
- Tools and technologies used - Python scripting, C programming, Web Scraping, Object-Oriented Design, FreeBSD OS, Selenium WebDriver
Research Intern, Jun 2019 ~ Jul 2019
CDSAML, PES University|
Achievements/Tasks
- Scene Description using Densecap-Hybrid-Hierarchical RNN| - Generated image description in the form of coherent paragraphs using Densecap CNN for Dense Captioning and Hierarchical RNN on a subset of Visual Genome dataset consisting of around 20k images.
- Was able to perform as good as state-of-art in terms of Meteor score which is inclined towards human-like sentences.
- Tools and Technologies used - Python, TensorFlow, Deep Learning, Jupyter Notebook, Ubuntu
Education
B.Tech Computer Science and Engineering, 2017~2021
PES University, Bangalore - 9.42 / 10 CGPA
Courses: Cloud Computing, Data Analytics, Machine Learning, Web Technology
Intermediate, 2015 ~ 2017
Mata Kasturi Devi Public School, New Delhi - 90.8%
Matriculation, 2011 ~ 2015
St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA
Skills
Industry Skills
Data Analytics
Data Structures and Algorithms
Problem Solving
Object Oriented Design
Database Management System
Programming & Web
Programming Languages:
C, C++, Python, SQL
Web Technology:
HTML, CSS, Javascript, PHP, AJAX, RESTful APIs
Others
Tools & Technologies:
Linux, Git
Spoken Languages:
English, Hindi
Projects
Code Semantic Detector|
- A Machine Learning based system to detect semantics/high-level function of code in the form of semantic label.
- Made to run on self-generated dataset of 500 programs across 25 labels from 8 DS/Algorithm categories.
- Approached in static and dynamic way giving accuracies of 98% and 80% respectively.
- Implemented using Python, TensorFlow, JQuery, Flask, Neural Networks, AST path mining, Universal Approximation Theorem, Naive Bayes Classifier.
RideShare on AmazonAWS|
- A scalable, distributed, fault-tolerant, highly-available, containerized and micro-services based ridesharing service deployed on AWS EC2.
- Implemented using Flask, Docker, Rabbit-MQ, Zookeeper, MySQL and RESTful APIs.
Farm-To-Fork|
- An ecommerce website for direct selling of farm goods by farmers to consumers involving Machine Learning techniques for suggestion and recommendation.
- Implemented using Jquery, Flask, MySQL, RESTful APIs and performed Unit, System and Performance tests.
Malware Detection on Microsoft’s Malware dataset|
- Predicting whether a Window’s machine will soon be hit with a malware using a Light Gradient Boosting Machine model.
- Obtained an AUC of 0.6712 and was scored 0.682 on Kaggle Submission.
- Implemented using Python, TensorFlow, Google Colaboratory.
Achievements
Currently hold Global Rank 36 on InterviewBit
Currently hold Institute Rank 3 out of 2130 on GeeksForGeeks
Stood at 4126/11,750 in Google Kick Start Round D 2020
Awarded Prof. CNR Rao Merit Scholarship in first 6 semesters for being in Top 20% of current CSE Batch at PES University
Extra Curricular
Attended Google’s Developer Student Club PESU (DSC PESU) Cloud Study Jam | QWIKLABS Profile|
Held at PES University, Bangalore on 20 July 2019
Participated in Microsoft’s MSHACK Hackathon|
Held at Microsoft IDC, Bangalore on 19-20 January 2019
Good Samaritans - Android Mobile app that lets users in distress seek help from other willing users in the vicinity.
Work Experience
Software Engineer Intern, May 2020 ~ Jul 2020
Zscaler Softech India Private Limited|
Achievements/Tasks
- Worked in Security team that applies security policies on data like Data Loss Prevention, URL classification using ML techniques and Cloud Sandboxing.
- My work revolved around understanding, improvising and contributing to several components of CASB(Cloud Access Security Broker) like refactoring some code components, automating information scrapping from vendor websites and supporting daily difference functionality, enhancing some scripts and writing preprocessing script to handle additional vendor data.
- Also added C code for small features like structure flattening for efficient processing of data and fetching and displaying data from predefined X-Macro in particular format.
- Tools and technologies used - Python scripting, C programming, Web Scraping, Object-Oriented Design, FreeBSD OS, Selenium WebDriver
Research Intern, Jun 2019 ~ Jul 2019
CDSAML, PES University|
Achievements/Tasks
- Scene Description using Densecap-Hybrid-Hierarchical RNN| - Generated image description in the form of coherent paragraphs using Densecap CNN for Dense Captioning and Hierarchical RNN on a subset of Visual Genome dataset consisting of around 20k images.
- Was able to perform as good as state-of-art in terms of Meteor score which is inclined towards human-like sentences.
- Tools and Technologies used - Python, TensorFlow, Deep Learning, Jupyter Notebook, Ubuntu
Education
B.Tech Computer Science and Engineering, 2017~2021
PES University, Bangalore - 9.42 / 10 CGPA
Courses: Cloud Computing, Data Analytics, Machine Learning, Web Technology
Intermediate, 2015 ~ 2017
Mata Kasturi Devi Public School, New Delhi - 90.8%
Matriculation, 2011 ~ 2015
St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA
Skills
Industry Skills
Data Analytics
Data Structures and Algorithms
Problem Solving
Object Oriented Design
Database Management System
Programming & Web
Programming Languages:
C, C++, Python, SQL
Web Technology:
HTML, CSS, Javascript, PHP, AJAX, RESTful APIs
Others
Tools & Technologies:
Linux, Git
Spoken Languages:
English, Hindi
Projects
Code Semantic Detector|
- A Machine Learning based system to detect semantics/high-level function of code in the form of semantic label.
- Made to run on self-generated dataset of 500 programs across 25 labels from 8 DS/Algorithm categories.
- Approached in static and dynamic way giving accuracies of 98% and 80% respectively.
- Implemented using Python, TensorFlow, JQuery, Flask, Neural Networks, AST path mining, Universal Approximation Theorem, Naive Bayes Classifier.
RideShare on AmazonAWS|
- A scalable, distributed, fault-tolerant, highly-available, containerized and micro-services based ridesharing service deployed on AWS EC2.
- Implemented using Flask, Docker, Rabbit-MQ, Zookeeper, MySQL and RESTful APIs.
Farm-To-Fork|
- An ecommerce website for direct selling of farm goods by farmers to consumers involving Machine Learning techniques for suggestion and recommendation.
- Implemented using Jquery, Flask, MySQL, RESTful APIs and performed Unit, System and Performance tests.
Malware Detection on Microsoft’s Malware dataset|
- Predicting whether a Window’s machine will soon be hit with a malware using a Light Gradient Boosting Machine model.
- Obtained an AUC of 0.6712 and was scored 0.682 on Kaggle Submission.
- Implemented using Python, TensorFlow, Google Colaboratory.
Achievements
Currently hold Global Rank 36 on InterviewBit
Currently hold Institute Rank 3 out of 2130 on GeeksForGeeks
Stood at 4126/11,750 in Google Kick Start Round D 2020
Awarded Prof. CNR Rao Merit Scholarship in first 6 semesters for being in Top 20% of current CSE Batch at PES University
Extra Curricular
Attended Google’s Developer Student Club PESU (DSC PESU) Cloud Study Jam | QWIKLABS Profile|
Held at PES University, Bangalore on 20 July 2019
Participated in Microsoft’s MSHACK Hackathon|
Held at Microsoft IDC, Bangalore on 19-20 January 2019
Good Samaritans - Android Mobile app that lets users in distress seek help from other willing users in the vicinity.