Ted Sanders
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTed Sanders is a machine learning engineer and Member of Technical Staff at OpenAI with a background in turning advanced research into products that make GPT useful to people. He brings 15+ years of technical and strategic experience spanning PhD-level applied physics research, senior recommendation work at Netflix, and consulting for tech startups. His career blends deep scientific rigor—synthesizing novel materials and building nanometer-scale transistors—with practical ML and data science that influenced recommendations for hundreds of millions of users. Ted contributes to open-source maintenance and code quality (notably refactoring the popular openai-cookbook to improve embedding naming clarity), signaling a focus on long-term code health as well as feature work. Based in San Francisco, he couples cross-disciplinary thinking with hands-on engineering to help teams make high-stakes technical decisions. His uncommon arc from experimental condensed-matter physics to production ML gives him a rare ability to bridge fundamental research and scalable product impact.
4 years of coding experience
8 years of employment as a software developer
MS, Applied Science & Technology, MS, Applied Science & Technology at University of California, BerkeleyUniversity of California San DiegoPhD, Applied Physics, PhD, Applied Physics at Stanford University
Github Skills (6)
jupyter-notebook10
python10
refactor9
refactoring9
openai-api8
nlp6
Programming languages (4)
Github contributions (5)
openai/openai-cookbook
Jun 2022 - Jan 2023
Examples and guides for using the OpenAI API
Role in this project:
Back-end Developer
Back-end DeveloperContributions:158 reviews, 80 commits, 265 PRs in 7 months
Contributions summary:Ted primarily refactored code within the `openai/openai-cookbook` repository, focusing on renaming variables related to embeddings. Specifically, the user renamed instances of "context_embeddings" to "document_embeddings" within the notebook files. The changes involved modifying code within Jupyter Notebook files, demonstrating a focus on code refactoring and maintenance. This activity suggests a role involving code consistency and maintainability.
apipythonopenai-apimachine-learningopenai
CharlesCNorton/openai-cookbook
Aug 2024 - Aug 2024
Examples and guides for using the OpenAI API
Contributions:1 push in 1 day
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