Zexi Yuan
Applied Researcher at Tencent
Shenzhen, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolZexi Yuan is an applied researcher and software engineer with 10 years of experience, currently building graph neural networks, vector similarity search, distributed deep learning frameworks, and inference accelerators at Tencent in Shenzhen. He combines strong ML expertise with production-grade software engineering, informed by internships at Microsoft (conversation summarization and backend development) and multiple enterprise engineering roles where he improved data pipelines and core systems. Academically grounded with dual master's degrees in Information & Communication Engineering and Computer Science, he has a track record of improving model performance and operational efficiency (e.g., 20% NLP gain at Microsoft, 80% faster historical tracing in past projects). Comfortable across languages and stacks from Python and deep learning to C#, Java, and distributed systems, he focuses on turning research ideas into scalable, deployable systems. Notably, he blends low-level systems thinking (inference accelerators) with algorithmic work (GNNs and vector search), making him effective at both model innovation and production optimization.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, 3.6/4.0, Master of Science - MS, Computer Science, 3.6/4.0 at Emory UniversityBachelor's degree, Electrical, Electronics and Communications Engineering, 87/100, Bachelor's degree, Electrical, Electronics and Communications Engineering, 87/100 at Central South University
Chinese, English
Github Skills (27)
caffe10
tensorrt10
optimizer10
inference-engine10
inference10
latency10
throughput10
keras10
nvidia10
sdk10
cuda10
cudnn10
low-latency9
pytorch9
onnx9
Programming languages (3)
Github contributions (5)
yuanzexi/Algorithms
Sep 2015 - Oct 2018
Contributions:58 pushes, 2 branches in 3 years 1 month
Tencent/Forward
Mar 2021 - Nov 2021
A library for high performance deep learning inference on NVIDIA GPUs.
Contributions:14 releases, 3 reviews, 73 commits in 7 months
inference-enginecaffe2tensorflownvidiacudnn
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