Sean Yap

I am an AI Systems Developer with a Bachelor’s in Intelligent Systems and over two years of hands-on experience in backend and API integration. I combine Python and API engineering with practical work in LLM orchestration, agentic systems, and MCP R&D.

I built and deployed a production agentic AI ecosystem that runs 24/7 on a self-managed VPS, orchestrating multi-skill LLM workflows, HITL automation, and real business operations with secure, zero-public-exposure architecture.

In my current role I perform R&D on MCP servers, evaluate LLM tool-use patterns, and engineer secure integration APIs for financial clients using MuleSoft and Python while managing end-to-end SIT/UAT/Production deployments and repository migrations.

I have delivered projects including an agentic procurement and invoice validation pipeline integrating Kimi K2.5 and Gemini 2.5 Flash, and an on-device skin disease classifier using TensorFlow Lite; I prioritize security, cost optimization, and reliable infrastructure management.