Yang Wenzhuo
Singapore
Summary
🤩
RockstarWenzhuo 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.
10 years of coding experience
Github Skills (24)
machine-learning10
interpretable-machine-learning10
ai10
python8
theano7
multimodal7
mathematical-expressions7
job-queue6
llmops6
mlops6
deep-learning6
pymc6
generative-ai6
benchmarking6
llm-inference6
Programming languages (2)
Github contributions (5)
salesforce/OmniXAI
Jul 2022 - Jan 2023
OmniXAI: A Library for eXplainable AI
Contributions:17 releases, 6 reviews, 494 commits in 6 months
aiexplainable-aiexplainable-mlinterpretable-machine-learningmachine-learning
yangwenz/ChatDemo
Jan 2023 - Feb 2023
Contributions:8 PRs, 105 pushes, 10 branches in 29 days
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