Summary
Hasan Khan is an ML Engineer based in New York with 11 years of experience building production-grade machine learning systems, currently adapting and fine-tuning large language models on medical claims data for Healthcare Risk Advisors. He holds an MS in Computer Science from NYU Courant and brings a strong applied analytics background from multiple data science roles at LMI, where he delivered NLP, topic modeling, regression-driven optimization, and ML environment frameworks for federal clients including NASA. Comfortable bridging research and production, Hasan has experience designing RAG systems and deploying models for downstream clinical and business tasks. His academic foundation in cognitive science and prior research in auditory cognition inform a human-centered approach to ML, particularly in language and clinical contexts. Fluent in translating complex requirements into reproducible workflows, he also has a history of teaching data science through workshops and creating project templates that accelerate team delivery.
11 years of coding experience
5 years of employment as a software developer
Masters, Computer Science, Masters, Computer Science at New York University
Arabic Language Institute Fez | معھد الغة العربیة بفاس
Bachelor of Arts, Computer Science & Cognitive Science, Bachelor of Arts, Computer Science & Cognitive Science at University of Virginia
English, Urdu, Arabic