Resume

• Built recommendation pipeline using pandas and scikit-learn to mine historical interaction data, uncovering latent user-taste patterns.
• Designed FastAPI and PostgreSQL backend with Redis caching to serve ML-driven recommendations in real time, cutting response latency by 86%.
• Connected pipeline to React front-end, delivering personalized recommendations through a real-time, consumer-facing interface.

• Architected peer-to-peer video conferencing platform with WebRTC mesh topology, supporting 6 concurrent participants with sub-200ms latency.
• Implemented adaptive bandwidth management (150kbps-2.5Mbps) with STUN/TURN NAT traversal and RTCRtpSender APIs for connection monitoring.
• Built Material Design 3 UI with video grid, screen sharing, device selection, real-time chat, and JWT authentication.
• Containerized full-stack application with Docker Compose and deployed CI/CD pipeline using GitHub Actions for automated testing and deployment.

• Built unified messaging platform using Matrix protocol bridges for WhatsApp, Telegram, Discord, and SMS, consolidating conversations into single interface.
• Implemented real-time WebSocket synchronization, SQLite offline storage, full-text search, and Firebase push notifications with quick reply actions.
• Developed React Native mobile app with threaded messages, rich media rendering, swipe actions, biometric authentication, and background sync.

Competitive Programming

• Solved 300+ Data Structures and Algorithms problems across LeetCode, Codeforces, and CodeChef, focusing on problem-solving and optimization.

Smart India Hackathon – Participant

• Participated in Smart India Hackathon, collaborating with a team to develop innovative solutions for Travel & Tourism Domain.