Bill Maccartney
CTO In Residence at Laurel
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBill Maccartney is a technology and research leader with over a decade of experience building and scaling ML teams and products across Silicon Valley, currently serving as CTO in Residence and AI Fund Fellow in Palo Alto. He led large language model efforts as VP of Machine Learning at Cohere and ran Proactive Intelligence at Apple, where he managed 120+ engineers and shipped features across QuickType, Shortcuts, and Siri. A former Stanford consulting professor who taught CS224U, he blends deep academic grounding (PhD in CS) with practical product delivery and has a track record of founding and growing teams from startups to enterprise (Aardvark→Google, SayIt). Beyond executive roles, he contributes to educational open-source projects—helping modernize Stanford CS224u notebooks to Python 3—and advises several AI startups, signaling a focus on mentoring and ecosystem-building as he explores new ideas.
11 years of coding experience
16 years of employment as a software developer
A.B. Philosophy, A.B. Philosophy at Princeton UniversityPhilosophy, Philosophy at Goethe University FrankfurtPh.D. Computer Science, Ph.D. Computer Science at Stanford University
English, German, French, Chinese
Github Skills (8)
jupyter-notebook10
documentation10
code-review10
python9
repos9
git-repository9
nlp8
natural-language-processing8
Programming languages (1)
Github contributions (4)
cgpotts/cs224u
Apr 2016 - Apr 2020
Code for Stanford CS224u
Role in this project:
Technical Writer & Code Reviewer
Technical Writer & Code ReviewerContributions:28 commits, 15 PRs, 18 pushes in 4 years 1 month
Contributions summary:Bill primarily focuses on correcting typos and minor inconsistencies in the documentation and code comments. This includes fixing grammatical errors, clarifying instructions, and ensuring the accuracy of examples within the Jupyter notebooks. The commits show a consistent effort to improve the clarity and readability of the codebase and associated documentation, especially in the context of a teaching environment. The user also migrated code from Python 2 to Python 3 in several notebooks.
deep-learningstanfordmachine-learning
wcmac/sippycup
Mar 2015 - May 2018
Contributions:32 commits, 1 PR, 29 pushes in 3 years 3 months
pythondidacticsemanticparser
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