Anton Vladyka is an Application Software Engineer with 10 years of experience applying Python, machine learning and quantum computing to bridge research and product needs. Currently at QuantrolOx, he translates customer requests into engineered solutions, combining client-facing project management with hands-on development. His academic track record includes a PhD in Nanosciences and published ML-driven methods for interpreting X-ray spectroscopy and electronic core-level spectra from positions at University of Turku and University of Birmingham. Equally comfortable with research and applied engineering, he has a knack for turning complex spectral and single-molecule data problems into deployable ML tools—a skill that underpins his role in enabling customer success in quantum technologies. Based in Espoo, Finland, Anton brings a unique blend of deep-domain science and pragmatic software delivery to early-stage quantum hardware and applications.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Nanosciences, Doctor of Philosophy - PhD Nanosciences at University of Basel
Master of Science (M.Sc.) High Technologies, Master of Science (M.Sc.) High Technologies at Taras Shevchenko National University of Kyiv
LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)
Contributions:1 release, 1 review, 37 commits in 3 years 4 months
Contributions:17 commits, 19 pushes, 1 branch in 3 years 11 months
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