Competitive programmer and full-stack developer blending problem-solving with creativity. I enjoy building intelligent applications, leveraging skills in both competitive programming (Codeforces) and machine learning to create robust web solutions.
Full‑stack system using Flask Blueprints (Admin/Customer/Kitchen) with MySQL, Twilio OTP reset, session/device binding, image uploads, PDF bill generation (ReportLab), analytics dashboards (Chart.js), date‑filtered reports, payment methods, and full order flow (cart → kitchen → billing). Deployed with Gunicorn.
i-Notebook is a secure, cloud-based note-taking application built with the MERN stack.It features user authentication (JWT), CRUD notes management, and a clean, responsive UI deployed on Vercel & Render. Designed for simplicity and speed, it allows users to safely organize notes anytime, anywhere.
Kriti (IIT Guwahati) project: MERN platform for students to find collaborators and projects. Built dynamic front‑end in React to reduce codebase and response time. Implemented heuristic spam filtering, reducing per‑message processing by ~67ms.
Full‑stack video chat platform supporting 20+ concurrent users with sub‑200ms latency across web/desktop using WebRTC and Socket.IO. Auto room creation and intelligent FIFO queue pairing improve stability by ~30% and reduce setup time by ~40%. Built with React.js (frontend), Flask + Socket.IO (backend), deployed on Render with health checks.
Dhakar News is a modern and responsive news application built with React that delivers the latest headlines from around the world. Powered by a live news API, it allows users to browse news by country, category, and search keyword — all with a clean and intuitive UI. The app is designed to be lightweight, fast, and user-friendly, making it easy for anyone to stay updated with breaking news in real time.
- Led Python-based data analysis on BIMARU states; built data cleaning pipelines, created time-series visualizations linking
literacy with population, sex ratio, fertility, life expectancy, GDP, and computed GDP growth.
- Delivered a reproducible research workflow: integrated datasets from data.gov.in and RBI, implemented interpolation/scaling
for comparability, organized modular plotting functions in src/pythonproject.py, and documented setup/usage in README.
No professional experience yet — actively building projects and open to internships/opportunities.
Python
C / C++
JavaScript
HTML
CSS
React / React Native
Flask
Flutter
AutoCAD
Photoshop
Adobe Illustrator
Notion
MongoDBI'm currently seeking new opportunities and projects. Feel free to get in touch!