Summary
Mukharbek Organokov is a Senior Machine Learning Engineer with a PhD in Astrophysics and nine years of experience building production ML and MLOps solutions across startups and large companies. He blends deep research instincts—from astrophysics and high-energy physics—with practical expertise in computer vision, NLP, time series, anomaly detection and fraud analytics, and a broad infrastructure toolset spanning Kubernetes, Terraform, Ray, AWS/GCP and CI/CD. Mukharbek has moved models from prototype to scale at companies like Cisco and Integral Ad Science and now leads ML efforts at a stealth startup, while maintaining active research ties as a visiting researcher and scholar. Comfortable in both Python and lower-level stacks (C/C++), he pairs rigorous statistical modeling with production-minded engineering—often applying scientific computing practices (ROOT, LaTeX) to industrial ML problems. Notably, his background in founding a genetics-focused venture and diverse academic appointments hints at a rare combination of entrepreneurship, domain breadth and reproducible research discipline.
8 years of coding experience
10 years of employment as a software developer
Master of Science (MSc) Space Physics, Master of Science (MSc) Space Physics at Peter the Great St.Petersburg Polytechnic University
Master of Science (MSc) Financial Management, Master of Science (MSc) Financial Management at Saint Petersburg State University
Master of Science (MSc) High Energy Physics, Master of Science (MSc) High Energy Physics at École Polytechnique
Doctor of Philosophy (PhD) Astrophysics, Doctor of Philosophy (PhD) Astrophysics at University of Strasbourg
Bachelor of Science (BSc) Physics, Bachelor of Science (BSc) Physics at Kabardino Balkarian State University
circassian (Адыгэбзэ), German, Russian, English, French