Simón Fishman is a Member of Technical Staff at OpenAI with a decade of software engineering experience building ML-driven systems and scalable products in the Bay Area. He previously advanced core features at Meta across multiple engineering levels and began his technical path with internships and teaching roles while earning a CS degree from Pomona College. At OpenAI he contributes to practical NLP tooling—his open-source work includes a search-augmentation notebook for the widely used openai-cookbook that generates and semantically reranks queries using embeddings to improve retrieval. Comfortable bridging research and production, he focuses on applied ML, information retrieval, and developer-facing examples that make cutting-edge APIs easier to adopt. Colleagues would describe him as a pragmatic engineer who turns conceptual models into reliable developer tools.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Pomona College
Contributions:155 reviews, 206 PRs, 209 pushes in 1 year 7 months
Contributions summary:Simón implemented a search augmentation notebook, which generates and ranks search queries based on a user question. The primary focus was on leveraging the OpenAI API for query generation and semantic reranking using embeddings. This project demonstrates the application of natural language processing techniques and machine learning models within the context of the OpenAI API, likely aimed at improving information retrieval. The notebook appears to provide examples and guides for using the OpenAI API for the tasks of question answering using search and semantic similarity.
Contributions:3 pushes, 1 branch, 2 issues in 8 years 3 months
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Simón Fishman - Member Of Technical Staff at OpenAI