Summary
Marek Szymanski is a machine learning engineer with nine years of experience applying advanced statistics, numerical modeling and software engineering to real-world problems, currently working on-site at H&M in Stockholm. Trained as a physicist with a PhD in solid-state physics and summa cum laude engineering degrees, he bridges deep academic modeling of disordered electronic materials with production ML systems using Python, Java and C/C++. His background includes research and scientific software development across European universities and labs, plus industry roles building trading bots and robot software stacks at Toptal. Marek is comfortable moving between high-fidelity simulations, data analysis and deployable engineering, and he has taught “Python for Scientists,” highlighting his knack for translating complex numerical methods into practical tools. An understated but striking personal note on his GitHub—“Career ended by cancer”—suggests resilience and a perspective that informs a focused, purposeful approach to his work.
9 years of coding experience
8 years of employment as a software developer
Master’s Degree, Engineering Physics/Applied Physics, Summa cum laude, Master’s Degree, Engineering Physics/Applied Physics, Summa cum laude at Warsaw University of Technology
Doctor of Philosophy (Ph.D.), Physics of Solid State, Doctor of Philosophy (Ph.D.), Physics of Solid State at Université Joseph Fourier (Grenoble I)
Polish, English, French