Chun-Min J.

I refactor your brittle, high-latency data workflows and volatile schema mutations to engineer clean, secure, production-grade GenAI platforms that eliminate operational lag and guarantee absolute output accuracy. - Slashed LLM hallucinations by 40% and accelerated processing speeds 10x by overhauling legacy monolithic parsing with a layout-aware multi-agent architecture and semantic chunking. - Permanently eliminated a cluster of 75+ daily data defects and reduced pipeline lag by 12 hours across 500,000+ daily records by deploying serverless, SOLID-principled PySpark ETL workflows. - Accelerated executive decision cycles by two weeks and cut underlying API infrastructure costs by 25% by building real-time, metadata-grounded Streamlit and centralized BI ecosystems. Ready to transition your AI infrastructure from an unpredictable, costly prototype into a high-fidelity, secure production engine? Let's connect to map out your architecture.