Summary
Furqan Dar is an AI engineer and data scientist with 11 years of experience who translates physics-trained rigor into production-grade ML systems and causal inference tools. With a PhD in Physics and a background as a computational physicist, he builds robust, reproducible pipelines that bridge theoretical modeling and deployed AI, currently holding research and engineering roles at Washington University in St. Louis and Serve AI. His work spans from developing new theoretical and computational techniques for complex multi-component systems to delivering applied ML solutions, reflecting a rare combination of academic depth and software engineering discipline. Based in Missouri, he is particularly focused on trustworthy, auditable models and software practices that make research-ready methods production-ready.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree Physics, Bachelor's degree Physics at Kenyon College
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Washington University in St. Louis
Urdu, English, Hindi