Shams Basir is a Senior Machine Learning Engineer with a PhD in Scientific/Physics-informed ML and eight years of experience building production AI across finance, healthcare, and high-traffic consumer products. As QuinStreet’s sole full-stack ML engineer on the product team, he designs and ships LLM-powered agents and multi-channel re-engagement assistants that have boosted engagement and driven six-figure monthly revenue. Previously at Bristol Myers Squibb he delivered clinical-grade NLP and RAG chatbots that realized multimillion-dollar savings and a near-patent-worthy Line of Therapy adjudication model. His background in physics-informed neural methods and dramatic performance gains on PDE problems gives him a rare blend of deep research rigor and pragmatic product delivery. Based in North Carolina, he excels at integrating LLMs with backend systems to create scalable, monetizable customer experiences.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Aerospace Aeronautical and Astronautical Engineering, Bachelor's degree Aerospace Aeronautical and Astronautical Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Doctor of Philosophy - PhD Physics-informed/Scientific Machine Learning, Doctor of Philosophy - PhD Physics-informed/Scientific Machine Learning at University of Pittsburgh
visiting student Machine learning, visiting student Machine learning at Carnegie Mellon University
Contributions:1 push, 1 branch in 2 years 5 months
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Shams Basir - Senior Machine Learning Engineer at QuinStreet