Machine Learning Software Architect at Lightmatter
Palo Alto, California, United States
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Summary
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Rockstar
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Top School
Ho Lee is a Machine Learning Software Architect in Palo Alto with a decade focused on applying ML/AI and data infrastructure to deliver personalized health and behavior insights. He blends deep technical roots—from early engineering and R&D roles at HP, Sun, and DEC to program leadership at Microsoft—with product and data science leadership at Livongo and current work at Lightmatter. His experience spans building scalable systems, recommendation and personalization engines, and translating clinical and sensor signals into actionable health guidance. Trained in EECS at MIT and having pursued advanced study at Stanford plus executive finance training at Harvard Business School, he pairs rigorous technical depth with business and valuation fluency. Notably, his career bridges research, startup CTO roles, and enterprise program management, enabling him to move innovations from prototype to production in regulated health contexts.
10 years of coding experience
37 years of employment as a software developer
BS, MS, Electrical Engineering and Computer Science, BS, MS, Electrical Engineering and Computer Science at Massachusetts Institute of Technology (MIT)
Financial Management, Venture Capital, Private Equity, Valuation, Financial Management, Venture Capital, Private Equity, Valuation at Harvard Business School
PhD program, Electrical Engineering and Computer Science, PhD program, Electrical Engineering and Computer Science at Stanford University
Contributions:11 pushes, 1 branch in 1 year 11 months
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Ho Lee - Machine Learning Software Architect at Lightmatter