Kéanu Spies
Machine Learning Researcher at Trase
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolKéanu Spies is a machine learning researcher with eight years of experience applying computer vision and signal-processing techniques to health and real-world products from startups to enterprise. He has led end-to-end ML solutions—research, deployment, and GPU-accelerated optimization—across roles at Spren, Grindr, and Trase, and holds advanced training from Stanford in biomedical data science and AI. Notable work includes a camera-based body composition model with 2.2% MAE that incorporated semi-supervised learning, knowledge distillation, and novel 3D waist/muscle estimates, plus HRV insights derived from 700K+ users. Comfortable bridging academia and product teams, he has published and filed patents stemming from generative and multimodal projects at Genentech and HP. Based in San Francisco, he focuses on building ML systems that measurably improve health and happiness, with a pragmatic flair for shipping production-ready pipelines.
8 years of coding experience
5 years of employment as a software developer
Sixth Form, Sixth Form at St John's CollegeMaster's degree Biomedical Data Science, Master's degree Biomedical Data Science at Stanford University
French, Afrikaans, English
Github Skills (1)
react3
Programming languages (1)
Github contributions (5)
swetharevanur/cs229-final-project
Nov 2018 - Dec 2018
Contributions:21 commits, 21 pushes in 26 days
swetharevanur/cs221-final-project
Nov 2017 - Dec 2017
Contributions:44 commits, 39 pushes in 24 days
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