Summary
Ehsan Asl is a manager of applied research at NVIDIA AI with 11 years of experience advancing large language models and multimodal generative AI. He holds a PhD in machine learning and has a track record of publishing influential work (e.g., SimpleTOD for task-oriented dialogue, NeurIPS and ACL highlights) that bridges NLP, speech, and vision. At Salesforce and NVIDIA he built end-to-end language modeling and few-shot, sample-efficient methods that improve robustness to distribution shift. He combines hands-on research with engineering delivery—moving prototypes into production-scale LLM research programs. Based in California, he focuses on interactive language agents and practical multimodal systems that can converse and complete complex tasks. An underappreciated strength is his cross-domain background from control systems to deep learning, which informs robust, systems-oriented model design.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.), Electrical and Electronics Engineering, Master of Science (M.Sc.), Electrical and Electronics Engineering at Petroleum University of Technology
Doctor of Philosophy - PhD, Machine Learning, Deep learning, Doctor of Philosophy - PhD, Machine Learning, Deep learning at University of Louisville
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering at Tabriz University of Technology (Sahand)
English, Persian