Hassan Hamad

AI Researcher @ AWS

I'm an AI researcher at Amazon Web Services (AWS), working on agentic AI and large language models. I work on post-training — RLHF, reward modeling — and figuring out how to evaluate LLMs in ways that actually reflect real-world usefulness. I also work on LLM environments: how to design diverse, realistic environments that let agents learn and improve through richer interactions.

Previously, I completed my PhD at USC on training efficiency in deep learning, and worked on synthetic data for NLP tasks like named entity recognition and relation extraction.