Jan Helcl is a Lead Machine Learning Engineer with 8 years of experience, currently driving MLOps and production-first ML practice at Vodafone Czech Republic. He has a strong track record in campaign optimization and experimentation—building neural models that delivered multi-million CZK monthly impact and uncovering savings through rigorously designed control frameworks. Jan led the shift from ad-hoc notebooks to a self-serve MLOps platform and is now migrating workflows to GCP while mentoring teams to take long-term ownership of models. He pairs product-minded indie projects (Glideator, ValuAgent) with enterprise delivery, using those sandboxes to trial end-to-end automation like OCR-driven financial extraction. With a background in financial engineering and hands-on consulting experience at PwC, he blends quantitative rigor, engineering discipline, and practical deployment expertise. Colleagues describe him as the go-to technical lead who steps into the hard parts of a project to unblock teams and ensure measurable business outcomes.
9 years of coding experience
6 years of employment as a software developer
Exchange programme (Vancouver, Canada), Exchange programme (Vancouver, Canada) at The University of British Columbia
Master's, Financial Engineering (Minor: Data Engineering), Master's, Financial Engineering (Minor: Data Engineering) at University of Economics, Prague
Contributions:2 PRs, 89 pushes, 4 branches in 2 years 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.