Alexander Podolskiy is a Senior Engineer and deep learning specialist with nine years of experience applying advanced ML to real-world products, currently researching NLP and LLM applications at Huawei. He holds a PhD in differential equations, dynamical systems and optimal control from Lomonosov Moscow State University, which underpins his rigorous approach to algorithm design and mathematical modeling. His career spans productionization of Grammatical Error Correction for Russian, out-of-distribution detection for personal assistants, and RL-driven test generation, blending research-grade methods with hands-on engineering. Comfortable in C++, Python and ML frameworks, he moves seamlessly between theory and product, turning complex PDE and control insights into practical models. Outside work he pursues photography and sports, a creative counterpoint that feeds his curiosity for novel ML applications.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, differential equations, dynamical systems and optimal control, Doctor of Philosophy - PhD, differential equations, dynamical systems and optimal control at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
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