Michael McCourt
San Francisco, California, United States
Summary
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SeniorMichael Mccourt is a Director of ML Ops with a decade of experience building production-grade infrastructure for machine learning and robotics, currently leading ML Ops at Torc Robotics to enable CV and RL model development and validation for autonomous trucks. He combines deep research pedigree—a PhD in Applied Mathematics from Cornell—with hands-on leadership across startups and enterprises, including co-founding Distributional and leading research teams at SigOpt and Intel. Michael’s work spans efficient multi-objective optimization, experimental design, and system monitoring for heterogeneous CPU/GPU platforms, bridging research and operationalization. Based in New York, he’s known for turning rigorous academic methods into practical tooling for testing and validating AI systems, and he keeps a focused private GitHub presence tied to SigOpt projects.
10 years of coding experience
Github Skills (25)
python-interface10
python9
machine-learning9
gpu9
deep-learning9
monte-carlo9
approximation9
api8
numpy8
neural-network8
computation7
mathematics7
acceleration7
tensorflow7
gpu-acceleration7
Programming languages (3)
Github contributions (5)
sigopt/evalset
Apr 2016 - Jun 2017
Benchmark suite of test functions suitable for evaluating black-box optimization strategies
Contributions:7 commits in 1 year 2 months
benchmarkingbenchmark-suiteboxrobustnessoptimization
mikemccourt/gaussqr
Jun 2017 - Dec 2018
Tools for computation with positive definite kernels (RBFs) in approximation, optimization and PDEs
Contributions:16 commits in 1 year 7 months
computationoptimizationkernelsapproximationjulia
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