Summary
Dror Kaufmann is a senior researcher and algorithm developer with nine years of experience building classical and deep learning solutions, primarily in computer vision and financial algorithms. Currently at Final, he applies rigorous applied-math training from the Weizmann Institute to develop production-ready financial models that bridge research and engineering. His background includes hands-on CV research at Brodmann17 and teaching calculus and electrical engineering fundamentals, reflecting a strong mix of theory and practical mentorship. Equally comfortable coding independently and telling data-driven stories (per his GitHub bio as an independent coder and data journalist), he brings curiosity about real-world signal extraction from noisy data. Known for combining high academic grades in physics and EE with pragmatic algorithm design, he often surfaces interpretable insights rather than black-box solutions.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at Weizmann Institute of Science
Bachelor of Science - BS, Physics, 93.89, Bachelor of Science - BS, Physics, 93.89 at Ben-Gurion University of the Negev