Jian Meng
Research Scientist at Huawei
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJian Meng is a research scientist based in New York with eight years of experience at the intersection of efficient AI infrastructure and photorealistic telepresence. Currently a Top Mind Research Scientist at Huawei, he focuses on post-training efficiency for large language models, building on prior research roles at Meta and Cornell Tech that explored model compression and high-fidelity telepresence systems. His background blends deep academic training toward a PhD in Electrical Engineering with hands-on systems work—from neuromorphic on-chip sensing to model compression for Codec Avatars—giving him a rare mix of theoretical rigor and practical optimization skills. Jian’s trajectory shows a consistent emphasis on squeezing performance from models and hardware alike, and he is comfortable translating research prototypes into engineering-ready solutions. He maintains a public portfolio with additional details on his personal website.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD (Transferred) Electrical and Electronics Engineering, Doctor of Philosophy - PhD (Transferred) Electrical and Electronics Engineering at Arizona State UniversityBachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Portland State UniversityDoctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Cornell University
Github Skills (13)
cuda10
llama10
pytorch10
gpt10
inference10
openai10
amd10
llm10
tpu9
transformer9
representation-learning2
reinforcement-learning1
pytorch-lightning1
Programming languages (2)
Github contributions (5)
mengjian0502/mengjian0502.github.io
Jun 2022 - Mar 2026
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:75 pushes in 3 years 9 months
templategithub-pages-templatemmistakesmistakesjekyll
mengjian0502/resnet_quantization_pruning
Mar 2020 - Jun 2020
Contributions:64 commits in 3 months
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