Summary
Amer Alsabbagh is an AI/ML engineer with nine years of experience building end-to-end systems that apply NLP and large language models to complex domains, most recently leading ML at a legal-AI company. Based in the San Francisco Bay Area, he has hands-on expertise with PyTorch, LLMs (GPT, LLaMA), embeddings, fine-tuning, and contrastive learning, and has productionized information extraction and search pipelines on Google Cloud. His background spans startups and research-adjacent roles—from data science at NexLP/Reveal to lecturing and research at Illinois Institute of Technology—giving him a strong blend of applied engineering and academic rigor. Known for turning ambiguous domain requirements into reliable ML products, he now contributes technical leadership at a stealth startup while continuing to push the state of applied NLU in regulated domains.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Illinois Institute of Technology
English, Arabic