Machine Learning Software Engineer, R&D at Agilent Technologies
Espoo, Finland
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Summary
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Oleksandr Sosnovshchenko is a Machine Learning Software Engineer with 11 years of software engineering experience, currently building AI engines for analytical chemistry at Agilent Technologies in Espoo. He combines a biology foundation (MSc in Biology) with a decade of hands-on ML and software work across computer vision, cheminformatics, and iOS development, giving him a rare cross-domain perspective. Previously he developed ML solutions at Virtual Control and Qognify and has experience as an open-source developer and mobile engineer, which helps him bridge research prototypes to production systems. His background teaching chemistry and biology and early lab roles inform a pragmatic understanding of scientific workflows and experimental data. Oleksandr is active in upskilling through MOOCs and data science programs, and he focuses on ML applications for bio/cheminformatics rather than generic models. That blend of wet‑lab insight and production ML engineering makes him adept at turning complex analytical problems into deployable AI tools.
11 years of coding experience
9 years of employment as a software developer
Student of summer and winter schools, Data Science, Student of summer and winter schools, Data Science at Ukrainian Catholic University
Summer school student, Middle/Near Eastern and Semitic Languages, Literatures, and Linguistics, Summer school student, Middle/Near Eastern and Semitic Languages, Literatures, and Linguistics at The National University of Ostroh Academy
Coursera.org and other MOOCs
Master of Science, M.Sc., Biology, General, 94, Master of Science, M.Sc., Biology, General, 94 at Dnipropetrovsk National University
Contributions:12 commits, 10 pushes, 2 branches in 8 months
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