Pavlo Pinchuk
Data Software Engineer
Colorado Springs, Colorado, United States
Summary
👤
Senior🎓
Top SchoolPavlo Pinchuk is a Data Software Engineer and Ph.D. physicist with nine years of experience turning complex scientific problems into production-ready data and AI solutions. Currently at the National Laboratory of the Rockies, he blends deep expertise in numerical modeling, image processing, and reinforcement learning with a passion for clean, maintainable Python engineering. His background at UCLA involved research and teaching roles that sharpened his analytic rigor and ability to communicate technical ideas to diverse audiences. Detail-oriented and creative, Pavlo excels at data cleaning, visualization, and building neural-network pipelines that bridge research and applied systems. He is motivated by continual learning and by translating advanced algorithms into reliable tools for real-world scientific challenges.
9 years of coding experience
4 years of employment as a software developer
University of California, Los AngelesBachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at University of Colorado Colorado Springs
Github Skills (56)
simulation10
prediction-model10
high-resolution10
energy-data10
modeling-tool10
abstract-syntax-tree10
sarif10
energy10
synthetic10
extraction10
perl10
generative-adversarial-network10
power-systems10
super-resolution10
renewable-energy10
Programming languages (4)
Github contributions (5)
NREL/elm
Sep 2023 - Mar 2025
ELM is a collection of utilities to apply Large Language Models (LLMs) to energy research.
Contributions:19 reviews, 25 PRs, 114 pushes in 1 year 6 months
energy-dataenergy-policylarge-language-modelsllmrenewable-energy
NREL/gaps
Apr 2023 - Apr 2025
Geospatial Analysis Pipelines (GAPs) is a framework designed to scale single-location geospatial models to a High-Performance Computing (HPC) environment.
Contributions:1 release, 4 reviews, 70 PRs in 1 year 11 months
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