Summary
Philippe Heitzmann is a Forward Deployed Engineer and AI-focused technical product leader with 11 years of experience building production ML and computer vision systems across startups and enterprise firms. A Harvard MBA and Duke-trained data scientist, he has driven measurable business impact from JPMorgan churn models that cut outflows by $80M to AI-driven SaaS features that generated net-new ARR at Arcules and edge-deployed pedestrian detection hitting 96% accuracy in thousands of Honda SUVs. He blends hands-on model development (YOLO, ZoeDepth, segmentation) with product strategy and investor-facing analytics from prior credit-investing roles, making him fluent in both technical delivery and commercial outcomes. Now building next-generation public safety software at Peregrine, he brings a track record of shipping safety-critical, edge-capable models and translating complex data insights into executive decisions. An unusual mix of private markets analysis, ML engineering, and product leadership gives him a rare ability to evaluate risk, ROI, and technical feasibility end-to-end.
11 years of coding experience
3 years of employment as a software developer
Double-major in Economics (B.S.), International Relations (B.A.), Certificate in Data Science, Double-major in Economics (B.S.), International Relations (B.A.), Certificate in Data Science at Duke University
Magna cum Laude, Magna cum Laude at Groton School
Data Science Bootcamp, Data Science Bootcamp at NYC Data Science Academy
Master of Business Administration - MBA, Master of Business Administration - MBA at Harvard Business School
English, French, Spanish