Summary
Jonathan Lee is a founder and engineering leader with 13 years of experience building agentic AI, multi-agent orchestration, and autonomous systems at the intersection of product and operations. He’s currently building an AI operating system that deploys enterprise-grade autonomous agents to automate end-to-end team and departmental workflows, after shipping production agents and transforming brittle integrations into a 10,000x more scalable event-driven platform as a Director of Engineering. As a three-time founder and CEO he scaled ventures to $20M+ in projects, raised multi-million dollar rounds, and exited a company, while also architecting complex ML and algorithmic trading systems in consultancy work. He combines deep hands-on engineering—serverless pipelines, EKS, Pulumi, RAG/LangChain agents—with proven talent-building practices (0% turnover at DK Law) and a track record of delivering cost and time savings measured in hundreds of thousands annually. Based in Los Angeles, he pairs entrepreneurial grit with a systems-first mindset that turns ambitious AI research into operational, revenue-driving products.
12 years of coding experience
15 years of employment as a software developer
Mathematics for Machine Learning & Data Science (In Progress), Mathematics for Machine Learning & Data Science (In Progress) at Coursera
Bachelor's degree, Sociology & Business, Bachelor's degree, Sociology & Business at The University of Texas at Austin
Nanodegree, Generative AI, Nanodegree, Generative AI at Udacity
Specialization Certificate, Machine Learning, Specialization Certificate, Machine Learning at Stanford University