Mikhail Kindulov is a Stream Lead Data Scientist with eight years of hands-on experience in computer vision and deep learning, currently leading vision initiatives at Wildberries after senior roles at NEW YORKER and research positions at Celsus and Ralient. He blends strong mathematical training from Saint Petersburg State University with practical ML systems engineering since 2018, shipping production models across retail and research environments. Known for valuing collaboration and knowledge sharing, he excels at translating research ideas into deployable solutions and mentoring cross-functional teams. Driven by rigorous problem-solving and a passion for math, he is also actively seeking opportunities outside Russia due to personal convictions.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Mathematical Methods of Digitalization of Economics, Master's degree, Mathematical Methods of Digitalization of Economics at Saint Petersburg State University
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Contributions:14 pushes, 3 branches in 18 days
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