Building enterprise AI applications, backend services, and full-stack business systems.
I build intelligent applications and the software systems around them. My experience spans enterprise RAG and multi-agent assistants, backend services, and full-stack platforms for e-commerce, logistics, and business operations. I work with Python, TypeScript, React, Next.js, PostgreSQL, and AWS, combining practical AI engineering with reliable software delivery.
Top Skills: Python · TypeScript · FastAPI · React / Next.js · NestJS · PostgreSQL · AWS · Docker · RAG & Agentic Systems
Designed and deployed an internal enterprise knowledge assistant over 100+ XML, PDF, and XLSX documents. Compared three RAG variants behind a shared Next.js and FastAPI interface, implemented multi-agent orchestration and PostgreSQL feedback storage, and deployed the application on AWS with CloudWatch monitoring.
Engineered and open-sourced a production-grade Corrective RAG (CRAG) and hybrid retrieval engine in Python. Combines Okapi BM25 sparse retrieval, dense cosine vector search, Reciprocal Rank Fusion (RRF), and ONNX-accelerated cross-encoder reranking with self-reflective confidence grading and automated query reformulation. Includes an end-to-end GitHub Actions CI pipeline executing Ruff linting, formatting checks, Mypy static typing, and Pytest suites on every push.
Led a team of eight engineers delivering a production e-commerce platform supporting hundreds of product listings and daily customer orders. Contributed to PostgreSQL schema design, REST API development, full-stack implementation, testing, and code review.
Developed logistics, shipment, HR, finance, and inventory features for an enterprise ERP platform. Built APIs, designed PostgreSQL schemas, optimized queries, and implemented interfaces using NestJS, React, and Next.js.
