A Computer science student who likes to experiment with different technologies to gain an insight in different fields and try to use them for solving different challenges faced by us in day to day life.
I have worked in different fields of computer science like Web development, Machine learning and App Development. Some of the projects I have worked upon are Art Generation with Neural Style transfer, Online Store Telegram Bot, Peer to Peer Video Conferencing Application and Chatting Application in Flutter using Firebase.
I love to participate in Hackathons and have participated and won a few including Smart India Hackathon 2020 and Hacksagon 2020.I also have an interest in competitive programming and have participated in CTFs (Capture the Flag). I like to play computer games and football in my free time.
• Implemented Lazy Loading for about 100 modules in the Angular code.
• Designed an admin dashboard in angular which was previously implemented in
php.
• Optimized the website to improve loading time by 3x.
QBox - a secure file-sharing service
• Developed tools to automatically analyze performance and functionality issues
like high CPU consumption, high memory usage, incorrect file permissions,etc
in different versions of QBox.
QMoney - visual stock portfolio analyzer
• Worked in back end team to implement the core logic of the portfolio manager
and published it as a library.
• Refactored code to add support for multiple stock quote services.
• Worked on the Development of Child Death Review System analyzing the data
to find the reasons for death of children below 5 years of age of whole state.
• Developed an android app in flutter with user login, authentication, forms,
offline saving of data and form status tracking among other features.