Sergey Zemskov is a Senior Machine Learning & Optimization Specialist with a decade of experience building production-grade AI and mathematical optimization systems, currently leading MLOps and optimization engineering at AXENIX. He combines deep expertise in LP/MILP modeling with solvers like CPLEX and OR-Tools and hands-on MLOps practice using Python, FastAPI, MLflow and DVC to deliver scalable supply chain, revenue management, and fraud-detection solutions. His background spans low-latency C/C++ real-time systems and GUI development, giving him uncommon fluency bridging algorithmic optimization and production engineering. An active practitioner on GitHub and Kaggle, he pairs rigorous academic performance with a pragmatic focus on turning complex models into maintainable, cloud-ready services.
10 years of coding experience
9 years of employment as a software developer
Engineer's degree, 4.9 out of 5, with honors, Engineer's degree, 4.9 out of 5, with honors at Moscow State Technical University of Civil Aviation (MSTUCA)
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