Taylor Faucett
Senior Machine Learning Engineer at Stealth AI Startup
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolTaylor Faucett is a Senior Machine Learning Engineer with 11 years of experience building and deploying robust ML systems for robotics, automation, and real-time data platforms. He specializes in deep learning for control and anomaly detection, reinforcement learning for sensor and geometry optimization, and edge-ready time-series forecasting for industrial robotics. Taylor bridges research and production—taking models from simulation and physics-informed experimentation (PhD in ML and experimental particle physics) through scalable data pipelines, ETL, and on-device inference. His background includes working with live streaming architectures, DevOps/infra-as-code, and integrating models with physical systems in sheet metal forming and other manufacturing contexts. Based in Los Angeles, he combines academic rigor with hands-on systems engineering and a knack for translating complex sensor data into actionable, real-world automation.
10 years of coding experience
16 years of employment as a software developer
Master's Degree, Physics, Master's Degree, Physics at University of Hawaii at ManoaBachelor's Degree, Physics, Mathematics, Music, Bachelor's Degree, Physics, Mathematics, Music at Westminster UniversityUniversity of California, Irvine
English, Spanish, French
Stackoverflow
1reputation
0reached
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Github contributions (5)
tfaucett/parameterizedML
Jul 2015 - Jun 2016
Contributions:100 commits, 111 pushes, 1 branch in 11 months
taylorFaucett/average-decision-ordering
Mar 2018 - Mar 2022
Contributions:40 pushes, 1 branch in 4 years
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