Mikhail Mosiagin
Quantitative Researcher
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolMikhail Mosiagin is a quantitative researcher based in Amsterdam with 11 years of experience applying data science to recommendation systems, uplift modeling and high-frequency trading. He has moved from software engineering and internships at Yandex into machine learning roles at Yandex.Taxi and Reversed Technologies before leading quantitative research at NXT Capital, blending production-grade engineering with research rigor. Comfortable across the stack, he translates mathematical training from MIPT into deployable models and trading strategies that emphasize measurable uplift and latency-sensitive performance. A pragmatic collaborator, he brings both academic depth in computational and applied mathematics and hands-on experience shipping ML systems in fast-paced, product-driven environments.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computational and Applied Mathematics, Bachelor's degree, Computational and Applied Mathematics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Github Skills (21)
causality6
python6
causal-inference6
java5
playing5
timer5
playing-cards4
machine-learning4
disk4
telegram-bot4
telegram3
react3
music3
yandex3
nextjs2
Programming languages (3)
Github contributions (5)
Mogby/lofitimer
Sep 2021 - Jan 2022
Lo-fi hip-hop beats + timer
Contributions:16 reviews, 21 PRs, 34 pushes in 3 months
hip-hoplo-fihopbeatstimer
Mogby/nvim_config
Jul 2022 - May 2025
Contributions:29 pushes, 1 branch in 2 years 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.