Kevin Teh is a Data Science and AI consultant based in Paris with 11 years of experience building ML-driven products and infrastructure across startups and scale-ups. He’s an applied researcher-turned-engineer who helped stand up zero-to-one lending and pricing platforms at Square and Opendoor, then shifted to AI productivity and agent-to-agent (A2A) workflows as a freelancer. Kevin combines a strong theoretical foundation (PhD in Mathematics from Caltech) with hands-on software engineering from roles at Alan and Vinequai, enabling him to bridge research, production ML, and data infrastructure. Notably, he’s comfortable both growing analytics teams and shipping low-latency models in production, and he brings a bias for pragmatic automation that accelerates decision-making across businesses.
10 years of coding experience
7 years of employment as a software developer
California Institute of Technology
Master of Science (MSc) Mathematics, Master of Science (MSc) Mathematics at University of Toronto
Contributions:10 pushes, 1 branch in 3 years 4 months
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