Deployed a RAG pipeline in Selenium and Python to analyze 1M+ research papers, building a structured database of 2K+ food-cancer interaction effects

Developed NutriLiv mobile app in Flutter and FlutterFlow with Firebase backend, supporting 10K+ users spanning 150+ countries

Built searching & filtering using Typesense and Algol with 200 ms latency

Integrated RevenueCat for subscriptions on Android and iOS

Created a personalized meal recommendation engine in Dart that analyzes 1K+ curated recipes based on 20 health parameters

Developed a Flutter social media app with Firebase backend for peer-to-peer mental health and wellness support

Integrated Stripe to handle payments, Agora for video conferencing, and AWS S3 for meeting recordings and user interactions

Implemented Google analytics with database triggers, concurrency handling, and integrated video player for recorded content

Hosted a Django-MySQL app on Vercel to manage 5K+ student records, built Power BI dashboards to uncover trends and insights

Deployed a Django app on AWS to collect outdoor learning data, enabling analysis of play areas, equipment, and tree coverage

Developed RAG chatbot from 1K+ internal docs to answer queries on learning tools and environments, boosting user engagement

Created n8n + Gemini flow to summarize meetings, reducing manual task load and auto-managing follow-ups meetings and emails

Developed and deployed Django/SQLite3 app on AWS

Built Selenium scrapers for auction sites to collect pricing data, used XGBoost to forecast prices with 12% mean absolute error

Created Tableau dashboards to analyze trends and estimate pricing, enhancing market insight for luxury fashion stakeholders

Deployed a Django-PostgreSQL app on C-Panel to manage 10K+ luxury clothing records, streamlining inventory management