Pavlo 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 Angeles
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at University of Colorado Colorado Springs
reVReports is a tool that simplifies the creation of standard, report-quality graphics that summarize key results from one or more reV supply curves
Contributions:1 release, 28 PRs, 39 pushes in 9 months
graphic
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