Summary
Sahil Sidheekh is a PhD researcher and Research Assistant at The University of Texas at Dallas with eight years of industry and academic experience bridging AI research and production systems. He focuses on enabling machines to represent knowledge and reason under uncertainty, bringing that research perspective to applied roles such as AI/ML residency at Verisk and backend engineering for a high-load e-commerce startup. Comfortable across research, teaching, and engineering, he designs probabilistic decision-making models while also building scalable APIs and database schemas. Based in Richardson, Texas, Sahil combines rigorous academic training from UT Dallas and IIT Ropar with hands-on experience shipping robust systems, making him adept at turning theoretical ideas into deployable solutions. An understated strength is his ability to move between classroom mentorship and production delivery, ensuring research innovations are both interpretable and operational.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at Dallas
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Indian Institute of Technology, Ropar
Higher Secondary Education, Mathematics and Computer Science, 94.2%, Higher Secondary Education, Mathematics and Computer Science, 94.2% at M.E.S Indian School - Doha, Qatar
English, Malayalam, Hindi, Arabic, Urdu, Kashmiri, Tamil