Radoslav Neychev is a machine learning engineer and lecturer with 10 years of experience bridging academic research and industry, currently based in Barcelona. He has contributed to high-impact projects from CERN LHCb to production systems at Yandex and RaiffeisenBank, applying ML to domains from particle identification to fraud detection. A graduate of MIPT with honors and an alumnus of Yandex School of Data Analysis, he combines strong mathematical foundations with practical engineering—evidenced by open-course contributions like implementing a kNN assignment for an open ML curriculum. Radoslav regularly teaches advanced ML and deep learning courses at MIPT, Harbour.Space and top Russian tech schools, and is known for translating complex research into hands-on coursework and production-ready solutions.
10 years of coding experience
Bachelor’s Degree, Applied Mathematics and Physics, 4.8/5.0, Bachelor’s Degree, Applied Mathematics and Physics, 4.8/5.0 at Moscow Institute of Physics and Technology (State University) (MIPT)
Master of Science - MS, Machine Learning, Data Analysis, AI, Master of Science - MS, Machine Learning, Data Analysis, AI at Yandex School of Data Analysis
Contributions:1 release, 638 commits, 39 PRs in 4 years
Contributions summary:Radoslav's commit added week02 materials, including the initial assignment. The assignment focuses on implementing a k-Nearest Neighbor (kNN) classifier on the handwritten digits dataset. This indicates the user was involved in tasks like data loading, feature extraction, and model implementation. The user is involved in applying machine learning concepts to solve problems.
Contributions:97 commits, 88 pushes, 2 branches in 1 year 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.