Summary
Nadbor Drozd is a Machine Learning Engineer based in London with 11 years of experience building and leading data science teams across finance, retail and ad-tech. He has progressed from hands-on model development and data pipelines to senior leadership roles at JPMorgan Chase, where he led analytics, experimentation and fraud strategy, and now works on ML at Meta. His background blends deep technical craft—production ML, Bayesian methods, demand forecasting, and computer vision—with practical product delivery, including a startup project that vectorised raster floor plans using deep segmentation and human-in-the-loop validation. Known for splitting time between coding and mentoring, he has repeatedly built infrastructure and tooling (AWS, Spark, TensorFlow, PyMC) to scale teams and models. His academic roots in theoretical and mathematical physics underpin a rigorous, probabilistic approach to modelling and experiment design. Comfortable toggling between research-level math and production constraints, he excels at turning complex statistical ideas into robust, auditable systems.
11 years of coding experience
11 years of employment as a software developer
M.S Theoretical and Mathematical Physics, M.S Theoretical and Mathematical Physics at University of Warsaw
Polish, English