George Mathew
Senior Director Of Machine Learning at Eko Health
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolGeorge Mathew is a senior machine learning leader with 10+ years translating research-grade AI into clinical and edge applications, currently building foundation models for cardiovascular and pulmonary disease detection at Eko Health. His background spans ML-powered medical diagnostics, speech and TTS on novel AI hardware (Graphcore IPUs), and signal-focused deep learning for wearable ECG analysis at iRhythm. He combines a Ph.D. in mechanical engineering and early research in dynamical systems and ergodic exploration with hands-on experience running benchmark submissions (MLPerf/MLCommons) and production algorithm teams. Known for bridging theory and production, he brings expertise in time-series/physiological signal modeling, hardware-aware model optimization, and regulatory-facing healthcare ML. Based in Berkeley, he often follows a research-to-product path that surfaces subtle algorithmic improvements with outsized clinical impact.
10 years of coding experience
22 years of employment as a software developer
Ph.D Mechanical Engineering, Ph.D Mechanical Engineering at UC Santa BarbaraB. Tech Mechanical Engineering, B. Tech Mechanical Engineering at University of Kerala
Malayalam
Github Skills (9)
benchmarking10
benchmark10
coverage9
policies9
machine-learning9
deep-learning8
dvc8
logging8
fairness-ml8
Programming languages (1)
Github contributions (5)
qpcode/smc
Oct 2018 - Mar 2021
Coverage Algorithms for Multi-Agent Systems
Contributions:2 commits, 85 pushes, 3 branches in 2 years 5 months
coverageergodic-controlergodicitymulti-agent-systems
qpcode/fullstack-nanodegree-vm
Sep 2015 - Oct 2015
Contributions:10 pushes in 28 days
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