Nathan Dalal is a Member of Technical Staff at OpenAI with 11 years of engineering experience focused on making high-quality education widely accessible through applied AI. He blends product-first full-stack engineering with research-informed approaches from Stanford, where he studied AI and education and worked on large-scale teaching video analysis and grammatical error correction. Previously a founding engineer at Modal and an engineer at Duolingo, he built adaptive learning systems that reached millions and industrialized AI-driven curriculum and assessment pipelines. Comfortable shipping everything from serverless ETL and Kafka streams to interactive learning labs and frontend features, he repeatedly scales prototypes into production. He pairs classroom teaching experience with hands-on ML model work, a mix that helps him translate pedagogical insight into practical, high-impact learning products.
11 years of coding experience
8 years of employment as a software developer
The Harker School
Master of Science - MS Computer Science: Artificial Intelligence, Master of Science - MS Computer Science: Artificial Intelligence at Stanford University
Contributions:39 commits, 32 pushes, 1 branch in 1 month
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Nathan Dalal - Member Of Technical Staff at OpenAI