TANISHQ

• ▸Built production LLM-powered AI code assistance feature using OpenAI APIs with optimized prompt engineering and token management, serving real-time suggestions to students on the learning platform.
• ▸Developed scalable full-stack applications with React + FastAPI/Node.js, implementing Redux state management and React Router for a responsive learning experience.
• ▸Optimized PostgreSQL and MongoDB queries through indexing and query restructuring, reducing average API response time by ~35%.
• ▸Integrated streaming LLM responses via Server-Sent Events for instant feedback on code submissions, improving perceived responsiveness.

STACK ▸ react · fastapi · node.js · postgresql · mongodb · redux · sse · openai

• ▸Designed high-performance FastAPI and Flask APIs for real-time synchronization and collaboration features, handling concurrent user sessions with low-latency updates.
• ▸Built scalable MySQL schemas and integrated third-party APIs for production workloads, reducing data inconsistency issues.
• ▸Contributed to modular backend architecture with reusable service layers, cutting new feature development time for adjacent modules.

STACK ▸ fastapi · flask · mysql · async · rest

• ▸Built reusable AWS cloud components and modular Python solutions with optimized SQL queries, improving scalability and data integrity.

STACK ▸ aws · python · sql