Dimitar Gueorguiev
Lead Machine Learning Engineer at Nike
Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDimitar Gueorguiev is a Lead Machine Learning Engineer based in Massachusetts with 11 years of experience blending optimization, reinforcement learning, and probabilistic modeling to solve complex fulfillment and forecasting problems. At Nike he progressed from Senior Data Scientist to Lead, driving fulfillment optimization projects that tie ML research to production supply-chain impact. His background in mechanical engineering (PhD, Boston University) and early academic work on wave propagation give him a strong mathematical and systems-thinking foundation that informs his approach to modeling and software design. Previously he built large-scale data and engineering systems at Qlik and EMC, bringing production-grade engineering discipline to ML initiatives. Known for pairing rigorous mathematical modeling with pragmatic software development, he focuses on making probabilistic and RL methods operational at scale.
11 years of coding experience
27 years of employment as a software developer
MS; BS Mechanical Engineering, MS; BS Mechanical Engineering at Technical University of SofiaPhD Mechanical Engineering, PhD Mechanical Engineering at Boston University
English, Bulgarian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
gurobi10
linear-programming10
simulated-annealing10
vehicle-routing-problem10
constraint-programming10
combinatorial-optimization10
operations-research10
optimization10
Programming languages (4)
Github contributions (5)
dimitarpg13/computability_and_logic_systems
Mar 2024 - Mar 2025
Contributions:159 pushes, 1 branch in 1 year 1 month
dimitarpg13/reinforcement_learning_and_game_theory
Dec 2021 - Apr 2025
Contributions:960 pushes, 1 branch in 3 years 3 months
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