Summary
Karan Samel is a machine learning researcher and engineer with 10 years of experience, currently building physical AI agents at Grafton Sciences and modeling aging biology in a stealth biotech role. He completed a PhD at Georgia Tech where he combined prior knowledge and implicit structure in LLMs to improve classification, search, and multimodal generation, and taught graduate-level computer vision. His internships at Google, Amazon, and IBM yielded measurable retrieval and linking gains by integrating LLMs with search and knowledge graphs, and he has a strong applied background in human-in-the-loop systems and recommendation models from industry roles. Karan’s work uniquely bridges agentic LLM reasoning with real-world robotic and manufacturing applications, aiming to accelerate scientific discovery through continuous learning systems. Based in Atlanta, he blends deep academic rigor with product-minded experimentation across AI, biology, and industrial automation.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Georgia Institute of Technology
Bachelor of Science (BS), Computer Science, Applied Statistics, Bachelor of Science (BS), Computer Science, Applied Statistics at Purdue University
Amador Valley High School