Ziqi Fan
Senior System Software Engineer - IC5 at NVIDIA
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZiqi Fan is a senior system software engineer specializing in distributed systems, large-scale ML/LLM infrastructure, and GPU-optimized model serving, currently contributing to NVIDIA Triton Inference Server. With a Ph.D. in Computer Science and experience across LinkedIn ML infra, Uber’s Michelangelo platform, and deep-learning systems at NovuMind, he bridges research-level rigor with production-grade engineering. He has hands-on expertise enabling NLP/LLM training and efficient GPU serving, plus practical experience in storage and in-storage computing from early roles. Based in Sunnyvale, CA, Ziqi combines systems-level performance tuning with applied ML inference work—an uncommon blend that surfaces in contributions to LLM inference tooling and NVIDIA Dynamo-related projects.
1 year of coding experience
7 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at University of MinnesotaB.S. Computer Science, B.S. Computer Science at Dalian University of Technology
English, Chinese
Github Skills (14)
tensorrt10
nvidia-docker10
nvidia10
machine-learning10
triton10
inference10
deep-learning10
gpu10
post-processing9
logic9
backend9
core-library8
python7
openvino1
Programming languages (2)
Github contributions (5)
triton-inference-server/tutorials
Jan 2025 - Mar 2025
This repository contains tutorials and examples for Triton Inference Server
Contributions:10 reviews, 11 PRs, 13 pushes in 1 month
triton-inference-server/triton_cli
Feb 2025 - Mar 2025
Triton CLI is an open source command line interface that enables users to create, deploy, and profile models served by the Triton Inference Server.
Contributions:3 reviews, 10 comments in 1 month
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