Summary
Sangmin Lee is a founder and lead applied-AI engineer with 11+ years building full-stack, production-ready AI platforms that move ideas from prototype to deployment in weeks. He designs systems combining LLMs, analytics pipelines, vector search, and low-latency proxies to support decision-making, monitoring, and fraud prevention across startups and enterprise contexts. Notable work includes architecting near real-time AI monitoring and optimization for e-commerce with <10 ms p95 impact and a SaaS pre-transaction fraud detector that leverages client-side signals and velocity analytics. Comfortable in constrained and regulated environments, he repeatedly turns ambiguous problems into measurable experiments and operational systems, having deployed prototypes that produced clear business signals and paid conversions. His engineering philosophy emphasizes modularity, observability, performance, and evolvability, and he pairs research-grade rigor with startup speed to deliver explainable, scalable AI products.
11 years of coding experience
15 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at New York Institute of Technology
Fullstack Academy
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Stony Brook University
English, Korean