Mykola Trokhymovych is Head of AI and Data Science with 8+ years building production ML systems and applied research across journalism, search, and platform safety. Based in Barcelona and pursuing a PhD at Universitat Pompeu Fabra, he blends academic rigor with product-focused delivery evidenced by roles at Wikimedia Foundation—where he implemented multilingual vandalism detection, prototype fact-checking via NLI, and a readability model—and industry positions at Surprise.com, Jooble, and Ciklum. He excels at bridging research and engineering: shipping multilingual, evaluation-driven models and turning NLP advances into deployable pipelines. Known for tackling messy, real-world data and measuring societal impact of models, he brings a pragmatic, evaluation-first mindset to leading AI teams.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MSc Data Science, Master of Science - MSc Data Science at Ukrainian Catholic University
PhD student Information Technology, PhD student Information Technology at Universitat Pompeu Fabra
Contributions:4 pushes, 1 branch in 2 years 7 months
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