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.

Integrated real-time data synchronization and interactive visualizations, resulting in a 25% reduction in latency and a 40% increase in user engagement

Collaborated with cross-functional teams to integrate APIs and enhance performance

Optimized the application for scalability and multi-platform support, ensuring consistent operation across different devices

Constructed applications using Next.js, TypeScript, TailwindCSS, and Vercel Blob Storage, which improved user engagement and refined interface design skills.

Engineered neural network solutions in Python and built applications with TypeScript on AWS/Vercel, enhancing system performance and scalability.

Implemented LLM chaining, hyperparameter tuning, and fine-tuning of LLM models, applying model training and inference techniques that improved latency and accuracy.