Shyamal Anadkat is an Applied AI engineer at OpenAI based in San Francisco with a decade of experience building product-focused AI systems aimed at real-world impact. He’s an active contributor to the widely used openai/openai-cookbook, adding notebooks on abstractive summarization evaluation, embeddings, and GPT‑4 function calling that reflect a practical fluency with API-driven ML workflows and evaluation metrics. Beyond hands-on engineering, he advises Duke’s AIPI program, mentors startup founders, and scouts angel deals for Andreessen Horowitz, blending academic, product, and investor perspectives to advance safe AGI. With a Master’s in AI from Duke, business training from Harvard Business School Online, and a CS/CE background from UW–Madison, he uniquely bridges research, product strategy, and go-to-market execution.
Contributions:109 reviews, 5 commits, 100 PRs in 5 months
Contributions summary:Shyamal contributed to the OpenAI cookbook repository by adding and modifying multiple notebooks related to evaluating and utilizing OpenAI's API. Their work included adding a notebook on abstractive summarization evaluation, which involved setting up the necessary packages (rouge, bert_score, and openai). They also updated existing notebooks such as "Code search using embeddings" and "Using embeddings", demonstrating familiarity with the OpenAI API and embedding techniques. Furthermore, they worked on an example of using GPT4 with function calling.
Contributions:4 PRs, 167 pushes, 3 branches in 3 years 5 months
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