Samuel Dovgin

Chicago, Illinois, United States
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Summary

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Rockstar
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Top School
Samuel Dovgin is a computer science student at UIUC with seven years of hands-on experience building full-stack and data-driven solutions, particularly in machine learning, algorithm optimization, and scalable web services. He has shipped features and search/filtering functionality at Rally Health using Scala, JavaScript, React, and ElasticSearch, and implemented cloud-connected IoT tooling and Golang APIs at Siemens. His research work spans mutual information estimation with K-NN, gene expression pathway analysis, and practical data ingestion pipelines using Python, R, and Cython—skills that bridge theoretical algorithmics and production data engineering. Samuel brings practical testing and CI/CD experience (WebdriverIO, Jenkins, Docker) and a knack for turning complex biological datasets into actionable insights. Based in Chicago, he combines academic curiosity with production-focused engineering, often optimizing runtime and extensibility where performance matters. Notably, his background shows a pattern of making research-grade algorithms deployable in real-world systems.
code7 years of coding experience
job1 year of employment as a software developer
bookUniversity of Illinois Urbana-Champaign
bookVictor J Andrew High School
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Github Skills (12)

youtube-dl10
python10
youtube10
yt-dlp9
adaptation5
react2
tuple1
directed-acyclic-graph1
phylogeny1
perfect1
dfa1
chakra-ui1

Programming languages (4)

JavaScriptJupyter NotebookBrainfuckPython

Github contributions (5)

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Contributions:16 pushes in 2 months
Contributions:13 commits, 8 pushes in 19 days
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Samuel Dovgin