Summary
Tomasz Golan is an AI Tech Lead with 11 years of experience blending computational science and machine learning to solve real-world vision and automation problems. He has led R&D teams building production-grade computer vision systems (6D pose, detection/tracking, VPR, gesture and pose estimation) and deep learning pipelines for microbiology lab automation, speech denoising, and NLP. His background includes academic leadership as a PhD physicist and postdoctoral work on neutrino experiments, where he applied deep learning to vertex reconstruction and Monte Carlo generator coordination—bringing rigorous scientific methods to ML product development. Based in Wroclaw, he excels at translating research-grade models into deployed systems and uniquely combines domain expertise in physics with hands-on engineering and team leadership.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Wroclaw