Summary
Alexey Kurochkin is a Senior Data Scientist with 7 years of experience applying machine learning and deep learning across banking, trading, metal & mining, oil & gas, and heavy industries. Trained at MIPT with top grades in Applied Mathematics and Physics, he blends rigorous STEM foundations with practical production deployments—from conveyor-belt ore fraction recognition to accelerating reservoir simulation. His background spans research (quantum absorption, time-series deep learning) and hands-on engineering (simulation software, process modeling), enabling both novel model development and systems integration. At Redmadrobot he led computer vision and causal analysis projects for industrial processes, and previously built ML-driven trading strategies and NAS methods in finance. Based in Istanbul and open to relocation or remote roles, he brings a rare mix of domain expertise in physical processes and end-to-end ML delivery. Colleagues describe him as a pragmatic researcher who turns complex physics-informed problems into reliable, deployable solutions.
6 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Applied Mathematics and Physics, 4.56/5, Bachelor's degree, Applied Mathematics and Physics, 4.56/5 at Moscow Institute of Physics and Technology (State University) (MIPT)
English, Russian