Ryan Peach
Senior Principal Engineer at Synopsys Inc
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Peach is a Senior Principal Engineer and machine learning researcher with a decade of experience designing cloud-native architectures and scalable ML systems, currently shaping infrastructure at Ansys after leading cloud DevOps at OnScale. He combines an EE background and an MS in CS to bridge hardware-informed engineering with large-scale software: from building AWS CloudFormation stacks that turn weeks of training into hours to managing Kubernetes, Spark, and multi-database platforms. A hands-on contributor in Python and Rust, he has improved open-source ML tooling—enhancing evolutionary hyperparameter search in sklearn-deap to support parallelism and robust parameter handling. Known for translating research into production, he has authored internal publications and led ML investigations across reinforcement learning, AutoML, and hyperparameter tuning. Based in Atlanta, he brings a pragmatic blend of deep research curiosity, systems-level architecture, and a passion for open source.
10 years of coding experience
9 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Georgia Institute of TechnologyBachelor's Degree Electrical Engineering & Minor in Mathematics, Bachelor's Degree Electrical Engineering & Minor in Mathematics at Western Kentucky University
English
Stackoverflow
481reputation
28kreached
8answers
19questions
Github Skills (18)
python10
scikit10
machine-learning10
evolutionary-algorithms10
scikit-learn10
multiple-selection9
feature-selection9
numpy9
variable-selection9
parallel-processing9
pandas7
deep-learning6
tensor6
amazon-ecr6
python-asyncio6
Programming languages (24)
Github contributions (5)
rsteca/sklearn-deap
Apr 2017 - Oct 2017
Use evolutionary algorithms instead of gridsearch in scikit-learn
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:16 commits, 6 PRs, 45 comments in 6 months
Contributions summary:Ryan primarily contributed to the `sklearn-deap` repository by enhancing the `EvolutionaryAlgorithmSearchCV` class. Their work focused on improving the robustness and functionality of the evolutionary search algorithm, including handling of `NaN` values, fixing parameter defaults, and adding checks for parameter grids. They also integrated DEAP library and modified optimize.py and cv.py to support parallel processing. Furthermore, they worked on related notebooks, including code for the notebook test.ipynb.
pythonevolutionary-algorithmsgridsearchmachine-learningscikit-learn
ryanpeach/lifechoices
Oct 2020 - Dec 2022
A simple piece of accounting software written in Python to let you predict how much money you might be forecasted to have at different stages of your life under different spending plans.
Contributions:5 PRs, 14 pushes, 3 branches in 2 years 2 months
pieceaccountingplanspythonmachine-learning
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