Built real-time data pipelines combining API ingestion and web scraping. Designed storage and processing workflows using PostgreSQL and Redis. Developed monitoring dashboards and optimized performance with caching strategies.

Designed scalable real-time data pipeline architecture with optimized query performance.

Built end-to-end LLM applications using RAG architectures for semantic search and data retrieval. Designed fullstack systems including FastAPI backends and React frontends for user interaction. Implemented vector search (pgvector) and real-time APIs, deploying with Docker and CI/CD.

Delivered production-ready AI system integrating LLMs with structured and unstructured data.

Developed embedded software for IoT railway systems using C on STM32. Designed and implemented error-handling and reliability mechanisms for low-latency communication (<3s). Contributed to backend tools and deployment workflows using Docker and CI/CD practices.

Improved system reliability and fault tolerance in a production IoT railway environment.