Eugeny Khanchin
Senior Software Engineer at Toga Networks-a Huawei Company
Haifa District, Israel
Summary
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Rockstar🎓
Top SchoolEugeny Khanchin is a senior software engineer with five years of experience building tooling and automation for chip development and AI model deployment, now based in Haifa and working at Toga Networks (a Huawei company). He has a strong backend and ML engineering background demonstrated by contributions to the high-profile OpenVINO open-source toolkit, where he improved ONNX/Caffe model optimization and conversion paths. At Intel he designed end-to-end developer tools, led migrations to Git and Python, mentored teams, and shipped UI and automation that measurably reduced errors and cycle time. Passionate about clean, maintainable code, he explores reinforcement learning and game development in his spare time, having implemented classic games in Python and Unity. Practical, curious and results-oriented, he combines systems-level thinking with hands-on contributions to production ML tooling.
5 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at ORT Braude College
Github Skills (11)
caffe10
deep-learning10
onnx10
python10
ai10
openvino10
model-optimization10
numpy10
inference9
computer-vision9
tensorflow8
Programming languages (1)
Github contributions (3)
openvinotoolkit/openvino
Dec 2020 - Feb 2022
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:332 reviews, 23 commits, 48 PRs in 1 year 2 months
Contributions summary:Eugeny contributed to the OpenVINO toolkit by implementing and refactoring code related to model optimization and conversion, specifically for ONNX and Caffe models. Their work involved modifying extractors, implementing new classes for specific operations, and adapting existing code to handle different frameworks. The commits show a focus on supporting various layers like batch normalization, reshape, and concatenation and included fixing issues and deprecated warnings within the model optimizer. The user's work is centered on improving the toolkit's ability to optimize and deploy AI models.
inference-enginepytorchmodel-optimizerdeep-learninggpu
evolosen/openvino
Dec 2020 - Apr 2022
OpenVINO™ Toolkit repository
Contributions:20 PRs, 340 pushes, 39 branches in 1 year 4 months
pytorchdeep-learninggpuopenvino-toolkitcomputer-vision
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