Samantha Whitmore is a software engineer and founder with 11 years of experience building data-intensive systems and machine learning infrastructure, now based in the San Francisco Bay Area. She has led engineering teams through acquisition at Kensho, scaled production data services and model deployment pipelines, and later founded New Computer before joining Cursor. A frequent hands-on contributor, she’s implemented core prompt-management features in the popular LangChain project, reflecting a focus on NLP integration and clean modular design. Her background in physics and applied math (Harvard and Cambridge) informs a pragmatic, measurement-driven approach to engineering and product. Colleagues describe her as a technical leader who balances individual code contributions with team growth and operational ownership.
12 years of coding experience
10 years of employment as a software developer
Master of Advanced Studies (MASt) Experimental and Theoretical Physics, Master of Advanced Studies (MASt) Experimental and Theoretical Physics at University of Cambridge
Bachelor of Arts (B.A.) Physics and Mathematics, Bachelor of Arts (B.A.) Physics and Mathematics at Harvard University
Contributions:24 reviews, 18 commits, 28 PRs in 3 months
Contributions summary:Samantha primarily contributed to the core Langchain library by implementing new classes and functionalities related to prompt management. Their work included the creation of the `BasePrompt` and `DynamicPrompt` classes, enhancing the flexibility and capabilities of prompt templates. The user also refactored prompts into a dedicated module, adding example generation utilities, demonstrating a focus on code organization and maintainability. Furthermore, they integrated NLPCloud client, indicating an interest in leveraging external APIs.
Contributions:2 reviews, 123 commits, 6 PRs in 2 months
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