Summary
Mohammad Irbaz is a PhD candidate and Graduate Research Assistant at George Mason University specializing in Medical NLP and large language model applications under Dr. Kevin Lybarger. With eight years of experience across industry and research, he has led ML teams at Omdena, Pioneer Alpha, and Leadbook, taking NLP and CV projects from ideation to GCP deployment and production pipelines. His work bridges applied data science—like unsupervised job-title clustering and lead-generation scraping—with academic research in Text Style Transfer, Clinical ML, and data-centric AI, evidenced by five peer-reviewed publications. He also teaches data science, mentors student projects, and has a track record of building practical systems such as multilingual chatbots, low-resource OCR for Bangla, and organizational recommender systems. Comfortable switching between research rigor and product delivery, he often focuses on automating scalable data pipelines that make unstructured information actionable. Based in Virginia, he combines deep technical skills with a demonstrated ability to translate complex NLP research into deployable solutions.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Islamic University of Technology
SSC, SSC at Cox's Bazar Government High School
HSC, HSC at Notre Dame College
Doctor of Philosophy - PhD Information Technology, Doctor of Philosophy - PhD Information Technology at George Mason University
Bangla, English, Hindi, Arabic, Urdu