Summary
Alexandr Kuzmin is a turbomachinery team lead and numerical methods specialist with 15 years of experience designing and delivering high-performance scientific software for multiphysics and CFD applications. He combines deep academic training (PhD in CFD) with hands-on expertise in linear solvers, parallelization, computational geometry and performance tuning, leading development at MAYA Heat Transfer Technologies while consulting on microchannel multiphase simulations. Alexandr also teaches physics, math and numerical methods, demonstrating strong communication skills and a talent for translating complex algorithms into usable tools. His background spans accelerator physics experiments, Monte Carlo simulations, and production-grade engineering, reflecting an uncommon blend of theoretical rigor and practical, performance-driven implementation.
15 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Fluid Dynamics, Mechanical and Manufacturing Engineering, GPA: 4.0 (4.0), Doctor of Philosophy (Ph.D.), Computational Fluid Dynamics, Mechanical and Manufacturing Engineering, GPA: 4.0 (4.0) at The University of Calgary
Master's Degree, Accelerator Physics, GPA: 4.98 (5.0), Master's Degree, Accelerator Physics, GPA: 4.98 (5.0) at Novosibirsk State University (NSU)
English, Russian, French