Sufeng Niu
Machine Learning Engineer at Salesforce
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSufeng Niu is a Machine Learning Engineer with 13 years of experience applying ML research to production problems across industry leaders and research labs. Now at Salesforce after Tenyx’s acquisition, he brings a track record from LinkedIn and internships at Nokia Bell Labs and Mitsubishi Electric Research Laboratories that blends product-focused engineering with deep research instincts. He holds a PhD in Computer Engineering from Clemson and an MS in Electrical and Electronics Engineering, reflecting strong theoretical foundations paired with practical deployment experience. Sufeng has moved between academic research and large-scale production systems, which lets him bridge novel ML methods and real-world business impact. Based in the San Francisco Bay Area, he focuses on delivering scalable, measurable solutions that translate complex models into reliable product features. Colleagues would note his uncommon combination of long-term research rigor and hands-on ML engineering across both startup and enterprise contexts.
13 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Clemson UniversityMaster's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Illinois Institute of Technology
Stackoverflow
639reputation
33kreached
1answer
9questions
Github Skills (109)
python10
simulator10
torcs10
deep-learning10
ml10
neural-network10
data-science10
tensorflow10
machine-learning10
deep-neural-networks10
autoencoder9
openai-gym9
nlp9
computer-vision9
deep-reinforcement-learning9
Programming languages (4)
Github contributions (5)
sufengniu/just_walk
Jan 2017 - Feb 2021
Contributions:12 pushes, 1 branch, 1 comment in 4 years
sufengniu/RXP
Dec 2013 - Feb 2014
Contributions:27 commits in 2 months
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