•Implemented an image based meal scanning feature using Python, PyTorch and computer vision models, combined with voice logging to estimate nutrition values (protein, calories, carbs, fat), reducing manual food tracking by ~70% for users.
•Built features for a React Native mobile app using TypeScript and Expo, working with a Node.js backend while maintaining ~95% crash-free sessions in production.
•Helped design and deploy a Docke microservices backend separating API and background worker services, improving deployment reliability and reducing server load.
•Integrated AWS services and external APls with caching strategies, reducing request latency by ~25%.
•Optimized backend performance by improving PostgreSQL queries and caching layers, reducing response times by ~50% for high-traffic endpoints.