Nurbek Saidnassim is a research-minded engineer with eight years of experience at the intersection of robotics, computer vision, and applied mathematics, currently pursuing a PhD and working on ML-driven numerical solutions for PDEs in MEMS applications. He has a strong track record deploying computer vision systems in production (exam proctoring) and advancing deep learning methods for risk-averse optimal control. Equally comfortable in research and engineering settings, he blends scientific computing, reinforcement learning and optimal control with hands-on software development. Based in Finland, he aims to translate AI and robotic advances into medical impact, bringing multidisciplinary training across mechanical, electrical, and applied mathematics. Notably, his work spans both theoretical PDE-focused ML research and practical CV deployments, reflecting a rare ability to move ideas from prototype to applied systems.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Назарбаев Университет
Bachelor of Engineering - BE, Mechanical Engineering, Bachelor of Engineering - BE, Mechanical Engineering at University of Dundee
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at Nazarbayev University
Bachelor’s Degree, Electrical and Automation Engineering, Bachelor’s Degree, Electrical and Automation Engineering at HAMK Häme University of Applied Sciences
Contributions:34 pushes, 1 branch in 3 years 1 month
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Nurbek Saidnassim - Research Assistant at Nazarbayev University