Xiake Sun
Deep Learning Software Engineer at Intel Corporation
Minhang District, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolXiake Sun is a Deep Learning Software Engineer with nine years of experience building production-grade computer vision and embedded machine vision systems, currently focused on OpenVINO architecture and GPU-accelerated inference at Intel. He combines low-level C/C++ and CUDA expertise with ROS, Python, and TensorFlow to deploy state-of-the-art vision models on constrained hardware, and has practical experience in simulation and system integration from automotive and surgical-robotics projects. Notably, he contributes build and infrastructure improvements to the high-profile openvino open-source toolkit—adding GPU performance profiling and cross-platform build workarounds—bridging research, devops, and deployment. Trained as a mechanical engineer (M.Sc., KIT), he brings a systems-minded approach to ML engineering, often tackling platform and tooling gaps that improve reproducible inference on embedded Linux environments.
9 years of coding experience
3 years of employment as a software developer
B.Sc., Fahrzeugtechnik, B.Sc., Fahrzeugtechnik at Central South UniversityM.Sc., Mechanical Engineering, M.Sc., Mechanical Engineering at Karlsruher Institut für Technologie (KIT)
Chinese, German, englich, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
c-language10
scripting10
bash10
cmake10
openvino10
script10
build-automation10
cprogramming-language10
msvcrt10
performance-optimization9
optimization9
inference8
gpu-programming8
devops8
ai7
Programming languages (4)
Github contributions (5)
openvinotoolkit/openvino
Sep 2021 - Nov 2022
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:14 reviews, 8 commits, 29 PRs in 1 year 1 month
Contributions summary:Xiake primarily contributes to build and infrastructure-related tasks within the OpenVINO project. Their work includes modifying build scripts to accommodate dependencies, specifically for Red Hat Enterprise Linux 8, and resolving package configuration issues. They also added and modified source code to integrate performance profiling on GPU with oneDNN support. Furthermore, they addressed an MSVC compiler issue, adding a workaround to ensure successful builds.
inference-enginepytorchmodel-optimizerdeep-learninggpu
sammysun0711/openvino_aigc_samples
Aug 2023 - Feb 2025
OpenVINO Samples for Popular AIGC Applications
Contributions:34 PRs, 90 pushes, 14 branches in 1 year 5 months
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