Summary
Rizwan Parvez is a research-focused scientist with 11 years of experience in machine learning and NLP, currently working at Qatar Computing Research Institute after a research scientist role at Bosch Research. He holds a PhD from UCLA and has an established record of industry internships at Google, Facebook AI, Salesforce, and Microsoft where he delivered advances in dialogue diversity, dense retrieval for open-domain QA, unsupervised QA, and hyperbolic language models. Rizwan’s work combines strong theoretical grounding with practical systems: his retrieval and generation projects show measurable gains on benchmarks like Google Natural Questions and SGD. Based in Doha, he bridges academic rigor and product-minded research, routinely shipping reproducible results that improve end-to-end QA and dialogue systems. An often-overlooked strength is his ability to diagnose dataset-domain gaps in retrieval systems, turning failure modes into research directions.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Bangladesh University of Engineering and Technology
University of California, Los Angeles
Doctor of Philosophy (Ph.D.) - First Year Computer Science, Doctor of Philosophy (Ph.D.) - First Year Computer Science at University of Virginia
English, Bengali