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 ERP platform serving 200+ daily users. 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.
