Summary
Vojtěch Pacík is a research engineer with a PhD in Experimental Particle Physics and nine years of hands-on experience turning complex experimental datasets into actionable insights. He blends expertise in statistical analysis, high-performance computing and AI—Google-certified—to architect data-driven solutions across research and industry, most recently as a Data Solutions Architect and now at Second Foundation. A former ALICE Collaboration researcher at CERN and doctoral researcher at the Niels Bohr Institute, he is comfortable scaling analyses from collider-scale big data to production analytic pipelines. He also has teaching and supervision experience, giving him a knack for communicating technical results to varied audiences. Notably, his background in ultra-relativistic collision analysis informs a disciplined, physics-first approach to modeling and uncertainty quantification that benefits business-grade machine learning and data engineering projects.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Particle Physics, Doctor of Philosophy (PhD), Particle Physics at Københavns Universitet - University of Copenhagen
Master's degree (Ing.), Experimental Nuclear and Particle Physics, Master's degree (Ing.), Experimental Nuclear and Particle Physics at České vysoké učení technické v Praze
English, French