Chris Miles

Software Engineer (Applications Team Lead)

Pacifica, California, United States
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Summary

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Senior
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Top School
Chris Miles is a software engineer and applications team lead with a decade of experience blending physics, applied math, and computational science into high-performance software for specialized processors. At quadric.io he leads an eight-person team implementing and numerically validating optimized linear algebra, signal processing, and neural network kernels for a parallel GPNPU, extending floating-point numerical analysis to fixed-point contexts. His background includes PhD-level research in fluid dynamics and active matter, where he built PDE solvers and custom optimization code from scratch, and applied those modeling skills earlier to acoustics and experimental validation. Comfortable moving between theory and production, he has a track record of shipping robust, accuracy-aware algorithms for constrained hardware while translating deep numerical insights into practical tooling and pipelines. Based in Pacifica, CA, he combines rigorous academic publications with hands-on engineering to tackle stability and conditioning challenges few engineers encounter in applied ML and signal domains.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Massachusetts Institute of Technology
bookMaster of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at University of Michigan
languagesEnglish, Spanish
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Github Skills (30)

reinforcement-learning9
multi-agent-reinforcement-learning9
openai-gym9
unity3d9
deep-reinforcement-learning8
algorithms8
machine-learning7
deep-learning7
ml-agents7
imitation-learning6
tensorflow5
onnx5
pytorch5
r-package4
flake4

Programming languages (8)

C#CoffeeScriptC++RTeXJavaScriptASPPython

Github contributions (5)

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cjm715/key_classifier

Feb 2021 - Apr 2022

Contributions:60 commits, 36 pushes, 1 branch in 1 year 2 months
cjm715/mgym

Jul 2018 - Jun 2020

A collection of multi-agent reinforcement learning OpenAI gym environments
Contributions:118 commits, 23 pushes, 5 branches in 1 year 11 months
multi-agent-reinforcement-learningopenai-gymmultiagent-reinforcement-learningmultiagentreinforcement-learning
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