Joseph Spisak

Menlo Park, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Joseph Spisak is a product and open-source leader with 20+ years of technical and go-to-market experience, currently serving as VP of Product & Head of Open Source at Reflection AI and a core maintainer and board member of the PyTorch Foundation. He builds product vision and ecosystems for frontier AI—focusing on openness, composability, and safe access for developers and researchers—and previously shaped Meta’s strategic AI efforts including contributions across Llama and agentic stacks. His background spans research-to-product bridges (founding AI for Science at FAIR), large-scale ML infrastructure and partnerships (AWS, Intel), and hands-on repo work on high-profile projects like Meta’s Llama3 and PyTorch documentation. An active angel investor and advisor, he helps early-stage founders navigate product-market fit and technical strategy while advocating that openness accelerates resilient, diverse AI progress.

10 years of coding experience

17 years of employment as a software developer

MBA International Business, MBA International Business at University of Denver - Daniels College of Business

Bachelor of Science (B.S.) Electrical Engineering, Bachelor of Science (B.S.) Electrical Engineering at Michigan State University

Innovation and Entrepreneurship Program, Innovation and Entrepreneurship Program at Stanford University

Japanese, English

Stackoverflow

Stats

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Github Skills (16)

user-manual10

content-management-system10

machine-learning10

learn-ruby-on-rails10

basics10

large-language-models10

content-management10

python10

documentation10

nlp9

html9

pytorch9

community-management8

modeling8

engage8

Programming languages (12)

TypeScriptJavaShellC++CSSCBatchfileJavaScript

Github contributions (5)

meta-llama/llama3

Apr 2024 - Jul 2024

The official Meta Llama 3 GitHub site

Role in this project:

ML Engineer

Contributions:10 reviews, 13 PRs, 14 pushes in 3 months

Contributions summary:Joseph primarily made updates to example scripts, setup files, and core library files within the Llama 3 repository. These changes involved updating import statements, and updating the terms of the license agreement. This suggests a focus on code maintenance, ensuring consistency, and potentially updating usage examples. The updates to files like `generation.py`, `model.py`, `tokenizer.py` and `test_tokenizer.py` suggest the user is working with core components of the model's functionality.

pytorch/pytorch.github.io

Sep 2018 - Sep 2022

The website for PyTorch

Role in this project:

Technical Writer / Community Contributor

Contributions:9 reviews, 105 commits, 44 PRs in 4 years

Contributions summary:Joseph primarily focused on updating documentation and informational content within the PyTorch website. Their contributions included updating links to external resources, modifying content on the cloud options and local setup pages, and adding/updating maintainer information in the community section. They also made adjustments to the ecosystem form and landing pages, demonstrating a focus on content clarity and accuracy.

pytorchmachine-learning

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