Mohammadamin specializes in natural language processing, large-language models, and information retrieval, turning cutting-edge research into practical, deployable systems. He holds two master's degrees, one in Mechanical Engineering from the University of Tehran and another in Software Engineering from the University of Alberta, both with a focus on artificial intelligence. He has built end-to-end AI solutions and deployed them using FastAPI, Docker, and AWS. With a research background in federated learning and hands-on experience delivering LLM-powered applications, he is passionate about creating tools that make complex information accessible and useful.

Outside of work, Mohammadamin enjoys hiking, watching movies, and reading history. He also loves animals, especially horses.