Xiaohan Huang
Software Engineer at JPMorganChase
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXiaohan Huang is a software engineer with 11 years of experience building large-scale systems across AI infrastructure, machine learning platforms, and cloud services, now based in San Jose. He has driven LLM training and inference work at LinkedIn and recently moved to JPMorgan Chase after roles shaping ML platforms at Apple and Argo AI. Xiaohan’s background spans fintech and security—leading backend and data pipeline efforts at Carta and architecting high-concurrency, event-driven frameworks at Shape Security. Early-career work includes router development and systems leadership at Huawei and UCSM client framework work through Nuova/Cisco, giving him deep systems and networking roots. He combines production-grade engineering with experience across startups and hyperscale teams, often focusing on performance, scalability, and reliability. A multilingual technologist educated in China and the U.S., he brings both low-level systems rigor and modern ML infra expertise to complex engineering problems.
11 years of coding experience
24 years of employment as a software developer
BS EE, BS EE at Nanjing UniversityMS CS, MS CS at Peking UniversityMS CS, MS CS at University of Louisiana at Lafayette
Chinese
Github Skills (71)
vector-search10
python10
image-processing10
datasets10
real-time-data10
stream10
computer-vision10
jupyter-notebook10
pytorch10
langchain10
machine-learning10
large-language-models10
keras10
data-processing9
pipeline9
Programming languages (6)
Github contributions (5)
xiaohanhuang/15-445
Sep 2018 - Mar 2020
CMU 15-445 2017
Contributions:2 pushes, 1 branch in 1 year 5 months
cmu
xiaohanhuang/tensorpack
Aug 2019 - Sep 2019
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Contributions:7 pushes, 2 branches in 28 days
caffe2speeddeep-learningtrainingneural-network
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