Mikhail Letavin
Software Engineer at Huawei
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
Summary
🤩
Rockstar🎓
Top SchoolMikhail Letavin is a software engineer with 7+ years of experience specializing in computer graphics, real-time rendering algorithms, C++ and GPU programming. He has worked on performance-critical graphics software at Intel—focusing on real-time ray tracing, low-level SIMD optimizations, and OpenCL/iGPU plugin development—and currently applies his expertise at Huawei. Comfortable with parallel programming on CPUs and compute accelerators, he pairs algorithmic improvements with platform-specific tuning to squeeze maximum performance from hardware. His background spans from database and tooling roles to advanced graphics research, reflecting a practical blend of systems thinking and low-level optimization. Trained originally in engineering, he brings a methodical, hardware-aware approach to rendering and compute problems that often uncovers non-obvious bottlenecks.
7 years of coding experience
8 years of employment as a software developer
Master's degree, Metal forming machines and technology (forging machines), Master's degree, Metal forming machines and technology (forging machines) at Nizhniy Novgorod State Technical University named after R.Y. Alekseev (NSTU)
English, Russian
Github Skills (20)
transformers10
pytorch10
recommendation-system10
diffusion-models10
inference-engine10
stable-diffusion10
inference10
openvino10
llm-inference10
deep-learning10
gpu10
ai10
generative-ai10
natural-language-processing10
computer-vision10
Programming languages (1)
Github contributions (4)
mletavin/openvino
May 2020 - Mar 2022
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
Contributions:215 pushes, 56 branches in 1 year 10 months
pytorchdeep-learningdeploymentopenvino-toolkitinference
openvinotoolkit/openvino
Jan 2019 - Mar 2022
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Contributions:112 reviews, 38 PRs, 1 branch in 3 years 2 months
inference-enginepytorchmodel-optimizerdeep-learninggpu
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