Soumyajit Nandi.

Built a premium glassmorphism mobile app for iOS/Android/Web using React Native + Expo Router. Implemented role-based workflows: event creation, club creation, chat, analytics, feedback, RSVP, QR check-in. Implemented real-time updates and push-notification workflows using Supabase subscriptions. Delivered real-time chat + live updates using Supabase; optimized media through Cloudinary. Integrated secure JWT + Google OAuth with AsyncStorage session persistence.

AI-Powered Open Source Mentorship Aggregator. Architected a hybrid data stack using Supabase (Auth + RLS) and MongoDB. Built a production-ready RAG pipeline in Python using LangChain + Vector Store for semantic search. Developed a stateful AI agent (LangGraph) with memory, reflection loops, and rule validation. Designed scalable backend services and cloud-ready APIs.

Built a full 3-app food delivery ecosystem using Kotlin with MVVM, Navigation, LiveData, and Material UI. Developed discovery, category chips/search, shimmer loading, cart/checkout, coupons, wallet cashback, multiple addresses, and Razorpay payments. Implemented profile editing with secure Firebase Storage uploads and optimized media via Glide + Shimmer. Designed Firebase RTDB schemas for menus, carts, orders, and session/auth prefs; built OrderManager for full order lifecycle + rewards. Delivered restaurant console with menu CRUD, availability toggles, status flow, and analytics dashboards. Integrated RESTful backend APIs and implemented secure authentication.

Built a premium glassmorphism mobile app for iOS/Android/Web using React Native + Expo Router. Implemented role-based workflows: event creation, club creation, chat, analytics, feedback, RSVP, QR check-in. Implemented real-time updates and push-notification workflows using Supabase subscriptions. Delivered real-time chat + live updates using Supabase; optimized media through Cloudinary. Integrated secure JWT + Google OAuth with AsyncStorage session persistence.

AI-Powered Open Source Mentorship Aggregator. Architected a hybrid data stack using Supabase (Auth + RLS) and MongoDB. Built a production-ready RAG pipeline in Python using LangChain + Vector Store for semantic search. Developed a stateful AI agent (LangGraph) with memory, reflection loops, and rule validation. Designed scalable backend services and cloud-ready APIs.