Phil Ngo is a Principal Software Engineer with 12 years of experience building data-driven systems and energy analytics platforms, currently leading engineering work at Jump - Advisor AI. He rose through engineering and leadership roles at Recurve, where he authored and maintained the Open Energy Efficiency Meter (eemeter) and architected the OpenEE platform used for standardized energy savings calculations. Phil blends deep data-science chops with practical software engineering—having shipped production ML models, patent-pending 3D facial registration code, and device integrations for Wolfram—while also mentoring teams as VP/Director of Engineering. Based in Los Angeles and a Harvard chemistry graduate, he’s a rapid iterater and inventive problem-solver who favors elegant, auditable solutions to tricky measurement problems. A concise thinker (GitHub bio: "import this"), he brings both scientific rigor and pragmatic product focus to complex, environmental and AI-driven engineering challenges.
12 years of coding experience
13 years of employment as a software developer
Bachelor's Degree Chemistry, Bachelor's Degree Chemistry at Harvard University
Contributions:189 commits, 57 pushes, 14 comments in 5 months
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Phil Ngo - Principal Software Engineer at Jump - Advisor AI