Summary
Anton Kovyakh is a Senior Consultant based in Copenhagen with 8 years of experience combining data-driven optimization, machine learning, and systems architecture with a strong academic foundation in Materials Chemistry and Physics (PhD, University of Copenhagen). He has delivered production ML and analytics solutions across consulting and industry, from Azure-based recommendation engines and Databricks pipelines to data architectures at Netcompany. His background in automated experimental design and high-throughput materials characterization informs a practical strength in process automation, real-time analytics, and bespoke experimental setups for materials and printed electronics. Anton uniquely bridges lab-scale research (synchrotron X-ray scattering, nanoparticle synthesis) with scalable engineering—building Python pipelines, Dash visualizations, and PostgreSQL-backed systems to turn complex scientific data into operational insight. Colleagues describe him as a problem-solver who translates domain science into deployable data products and automated testing regimes. He brings a rare combination of hands-on research depth and production-grade software and data architecture experience.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Københavns Universitet - University of Copenhagen
Bachelor of Science (B.Sc.), Nanotechnology, Bachelor of Science (B.Sc.), Nanotechnology at Københavns Universitet
English, Ukrainian, Danish, w russian