Summary
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.
7 years of coding experience
1 year of employment as a software developer
University of Illinois Urbana-Champaign
Victor J Andrew High School