Philip Howes
Co-Founder at Baseten
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPhilip Howes is a founder and machine learning engineer with 11 years of experience building and scaling AI-first products from research to production in the Bay Area. As Co-Founder of Baseten and previously Shape (acquired by Reflektive), he combines deep mathematical training (PhD work at the University of Sydney and advanced studies in Copenhagen) with hands-on ML engineering—contributing model integrations like Wav2Vec and GFPGAN to open-source deployment tooling. He has practical experience across startups and research labs, shipping model deployment, secret handling, and storage solutions that bridge prototypes to reliable production services. Based in San Francisco, he brings entrepreneurial rigor and a rare blend of theoretical depth and pragmatic engineering to teams moving ML into production.
10 years of coding experience
8 years of employment as a software developer
Kandidat Mathematics, Kandidat Mathematics at Københavns Universitet - University of CopenhagenThe University of Sydney
Github Skills (13)
transformers10
machine-learning10
pytorch10
python10
s3-bucket9
amazon-s39
aws-s39
computer-vision9
aws8
model-management8
open-source7
docker4
dockers4
Programming languages (2)
Github contributions (5)
basetenlabs/truss
Jul 2022 - Jan 2023
The simplest way to serve AI/ML models in production
Role in this project:
ML Engineer
ML EngineerContributions:43 reviews, 16 commits, 9 PRs in 6 months
Contributions summary:Philip primarily contributed to adding and integrating machine-learning models within the repository. This includes implementing a Wav2Vec model for speech-to-text and a GFPGAN model for image restoration. They also addressed secret handling for S3 uploads, suggesting a focus on model deployment and data storage. The contributions also included minor fixes and a patch to the table logger, indicating an involvement in overall project maintenance.
pythonboilerplatedata-scienceboilerplate-codepackaging
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