Michael Wang

Research Scientist at cmuscs uwaterloo salesforce cerebras

Mountain View, California, United States
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Summary

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Senior
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Top School
Michael Wang is a research scientist and AI engineer based in Mountain View with eight years of experience building agentic reasoning systems across the full stack—from pretraining foundations to downstream decision-making components. Trained at Carnegie Mellon (MCDS) and the University of Waterloo (ECE), he blends rigorous computational data science with applied engineering to translate research ideas into robust models and prototypes. His work focuses on autonomous, goal-directed AI agents and practical system design, pairing deep probabilistic and ML knowledge with software-first delivery. Colleagues would describe him as equally comfortable iterating on model architectures and integrating them into reproducible pipelines, often bridging gaps between research experiments and production-ready tooling.
code8 years of coding experience
bookMaster of Computational Data Science (MCDS) Computer Science, Master of Computational Data Science (MCDS) Computer Science at Carnegie Mellon University
bookBachelor of Applied Science Electrical and Computer Engineering, Bachelor of Applied Science Electrical and Computer Engineering at University of Waterloo
languagesEnglish, mandarian
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Github Skills (23)

computer-vision10
machine-learning9
natural-language-processing9
deep-learning9
datasets8
speech8
evaluation7
multiclass-classification7
nlp7
bayesian-inference6
manipulation6
pytorch6
pandas6
tensorflow5
reinforcement-learning5

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Coursera Deep Learning Specialization: Code Implementation, Lecture Notes and Corresponding Papers
Contributions:96 commits, 1 PR, 49 pushes in 2 years 6 months
notescode-implementationspecializationdeep-learningmachine-learning
Contributions:5 pushes in 5 years 1 month
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