Stefan Kokov
Tech Lead AI Researcher Software Engineer - AI at Calvin Risk
Bulgaria
Summary
👤
Senior🎓
Top SchoolStefan Kokov is a Tech Lead and AI researcher with 11 years of experience building machine learning systems and production software, currently leading AI efforts at Calvin Risk. He progressed from intern to senior ML engineer roles at Fadata Group and gained cross-platform, HPC and tooling experience during a year in industry at ANSYS, blending practical software engineering with applied AI research. Stefan’s background combines an M.Eng. in Computer Science with AI from the University of York and hands-on work shipping models and engineering infrastructure in enterprise settings. He excels at turning research ideas into deployable solutions, particularly in risk-focused applications, and is comfortable across Python, C++ and concurrent/HPC environments. Based in Bulgaria, he brings a pragmatic, systems-minded approach to ML problems and a track record of mentoring and technical leadership. Notably, his early work building a MapReduce-style regression testing framework reveals a long-standing interest in scalable, reproducible engineering practices.
11 years of coding experience
8 years of employment as a software developer
Master of Engineering (M.Eng.) Computer Science with Artificial Intelligence (with a year in industry), Master of Engineering (M.Eng.) Computer Science with Artificial Intelligence (with a year in industry) at University of YorkDiploma of Secondary Education Mathematics and Informatics, Diploma of Secondary Education Mathematics and Informatics at Sofia High School of Mathematics
Bulgarian, English
Github Skills (10)
incremental-learning10
machine-learning10
model-management10
mlflow10
dvc10
ai10
lifecycle10
python9
apache-spark9
ml8
Programming languages (2)
Github contributions (5)
kokoff/deep-forecast
Oct 2017 - Jun 2018
Contributions:200 commits in 8 months
SEPR-EEP/taxe-game-3
Feb 2015 - Nov 2017
Contributions:17 PRs, 26 pushes, 2 branches in 2 years 8 months
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