Marco Tompitak is a Data Platform Lead based in Amsterdam with 10 years of experience bridging research-grade problem solving and product-focused data engineering. He moves between hands-on ML and data engineering work and leadership roles, having shipped model-serving platforms, proactive vehicle-maintenance products, and led cross-national data migrations at enterprise scale. His background includes a PhD-calibre research mindset that thrives on ambiguity and long-running problem solving, combined with practical product ownership and stakeholder alignment. Notably, he built a Python tool for depersonalizing text and has deep experience operationalizing models on Kubernetes for on-demand serving. This mix of scientific rigor, engineering delivery, and organisational awareness helps him translate complex algorithms into business value.
10 years of coding experience
6 years of employment as a software developer
Master of Science (MSc) Theoretical Physics, Master of Science (MSc) Theoretical Physics at Vrije Universiteit Amsterdam (VU Amsterdam)
Master of Science (M.Sc.) Theoretical Physics, Master of Science (M.Sc.) Theoretical Physics at University of Amsterdam
Contributions:29 commits, 16 pushes, 2 branches in 1 year 10 months
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