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.
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.
Built a domain-specific RAG application using publicly available health information. Implemented web scraping, document chunking, ChromaDB indexing, and retrieval and answer-quality evaluation.
