Yordan Zaykov
Principal Research Software Engineer Manager at Microsoft
Cambridge, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolYordan Zaykov is a Principal Research Software Engineer Manager based in Cambridge with seven years leading ML research engineering teams at Microsoft, bridging cutting-edge AI research to production features like knowledge mining, decision making, and player matchmaking. He combines deep probabilistic modeling experience from his Infer.NET work with a track record of shipping production systems across gaming, research, and enterprise contexts. A Cambridge MPhil and dual-degree graduate from Sofia University with top honors, he pairs strong academic rigor with practical engineering—evident from early roles at NVIDIA, CERN, and game studios. Yordan is known for mentoring and scaling cross-disciplinary teams that translate research prototypes into robust products, and for an uncommon blend of Bayesian inference expertise and product-focused orchestration.
7 years of coding experience
8 years of employment as a software developer
MPhil, Advanced Computer Science, Distinction, MPhil, Advanced Computer Science, Distinction at University of CambridgeBSc, Computer Science, Excellent 6.00 (out of 6.00), BSc, Computer Science, Excellent 6.00 (out of 6.00) at Sofia University St. Kliment Ohridski
English, Bulgarian
Github Skills (19)
graphical-models10
infer10
bayesian10
probabilistic-models10
probabilistic-graphical-models10
bayesian-inference10
machine-learning9
inference9
dotnet8
algorithms8
csharp8
dotnet-core6
cross-platform6
ml4
uikit3
Programming languages (2)
Github contributions (5)
dotnet/infer
Oct 2018 - Sep 2019
Infer.NET is a framework for running Bayesian inference in graphical models
Contributions:3 commits, 5 PRs, 2 pushes in 11 months
inferbayesian-inferenceinferencegraphical-modelsmachine-learning
microsoft/horseshoe-bnn
Jul 2019 - Jul 2019
A Bayesian Neural Network with a horseshoe prior for improved interpretability
Contributions:4 commits in 1 day
improvedinterpretabilitybayesian-neural-networkmachine-learningneural-network
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