Wenzhuo Yang
Lead Applied Scientist Research Engineer at Salesforce
Singapore
Summary
👤
Senior🎓
Top SchoolWenzhuo Yang is a Lead Applied Scientist and PhD-trained machine learning researcher with nine years of experience building production ML and recommender systems across industry leaders like Salesforce, SAP, and BIGO LIVE. He has a strong publication record at top venues (ICML, CVPR) and deep expertise in computer vision, optimization, and deep reinforcement learning from his NUS doctoral work and research visits. Equally comfortable in research and engineering, he ships production models using Python, TensorFlow and C++, and has progressed from data scientist and research fellow roles to principal architect and lead scientist positions. Based in Singapore, he blends academic rigor with product-focused delivery, often translating complex RL and optimization ideas into scalable systems for personalization and inference. Notably, his career shows a recurring pattern of returning to Salesforce in increasingly senior research-engineering roles, highlighting both leadership continuity and impact.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Zhejiang UniversityDoctor of Philosophy (PhD) Machine learning, Doctor of Philosophy (PhD) Machine learning at National University of Singapore
English, Chinese
Github Skills (30)
pytorch10
data-science10
machine-learning10
interpretable-machine-learning10
deep-learning10
ai10
python8
multimodal8
expressions8
theano7
aws-lambda7
generative-ai7
bentoml7
streaming6
mlops6
Programming languages (1)
Github contributions (5)
salesforce/OmniXAI
Jul 2022 - Jan 2023
Contributions:17 releases, 6 reviews, 494 commits in 6 months
explainable-mlpytorchdata-sciencedeep-learningmachine-learning
yangwenz/ChatDemo
Jan 2023 - Feb 2023
Contributions:8 PRs, 105 pushes, 10 branches in 29 days
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