Hassan Hamad

Hassan Hamad

AI Researcher @ AWS

I'm an AI researcher at Amazon Web Services (AWS), focusing on artificial intelligence, agentic AI systems, and large language models. My work explores how we can make AI systems more capable, efficient, and reliable — from training efficiency in deep learning to building AI agents that can interact with the real world through tool use and function calling.

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

Latest News

Oct 2025 📄 New arXiv pre-print on Neural Network Training with Log Number Format Read paper →
Oct 2025 📄 New arXiv pre-print on Correcting LLM Tool Call Mistakes Read paper →
Dec 2025 📝 New blog post: Forward vs Reverse KL Divergence Check here →
Jan 2025 🚀 Joined AWS Agentic AI as an AI Researcher!
Nov 2024 🎓 Successfully defended my PhD thesis at USC!
Jun 2024 📄 FIRE dataset paper published at NAACL 2024 Read paper →

Research

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