Daulet Askarov is a Senior Software Engineer in Mountain View with a strong foundation in electrical engineering and applied mathematics, holding an M.Sc. and PhD from Stanford and a BS from MIPT. Over the past decade he has transitioned from academic research and photonics at Finisar to leading machine learning infrastructure for YouTube Kids at Google and now building AI infrastructure at Meta. He combines deep research experience with hands-on production engineering, shipping scalable ML systems and infrastructure across consumer and enterprise contexts. Known for bridging algorithmic rigor and practical deployment, he excels at turning complex models and research prototypes into reliable, production-grade services. Despite only two years of industry experience listed beyond Google and Meta roles, his academic and research tenure reflects a much longer track record of technical depth and leadership in ML infra.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:11 reviews, 4 PRs, 1 push in 2 years 4 months
gpu-accelerationneural-networkpythonautogradgpu
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