Summary
Adeeb Zaman is an AI-focused software engineer with a decade of experience building scalable systems and deploying state-of-the-art language models at Amazon and Microsoft. He combines production-grade backend engineering (Java, AWS, Docker, ECS) with hands-on AI safety research, including a recent fellowship and a mechanistic interpretability paper under review studying LLM→VLM representational shifts. At Amazon he led the creation of a self-service LLM evaluation framework that cut evaluation latency from weeks to days and contributed to launching high-profile models, while earlier work on Alexa systems improved experience for millions of users and prevented substantial revenue loss. Based in Atlanta and trained at Georgia Tech, Adeeb blends rigorous experimentation, cross-team leadership, and a researcher’s curiosity to bridge applied ML deployment and model safety.
10 years of coding experience
6 years of employment as a software developer
The Gwinnett School of Mathematics, Science, and Technology (GSMST)
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Georgia Institute of Technology
University of Georgia