Summary
Keerthiram Murugesan is a Research Scientist at IBM Research AI with a decade of experience advancing AI, machine learning, and natural language understanding since earning a Ph.D. from Carnegie Mellon University. His work centers on building reliable, trustworthy foundational models and neuro-symbolic systems that enable LLMs to reason, plan, and adapt under real-world uncertainty. He has authored over 50 papers in top-tier venues (ICML, ICLR, NeurIPS, ACL, AAAI, IJCAI, KDD), blending theoretical rigor with practical risk mitigation for large language models. Based in New York, he combines deep academic training with industrial research impact, focusing on interpretable agent behaviors inspired by Thinking Fast and Slow. An underappreciated strength is his sustained translation of complex language-technology research into systems designed for robustness in dynamic environments.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Kentucky
Anna University, Chennai
Ph.D., Machine Learning & Language Technologies, Ph.D., Machine Learning & Language Technologies at Carnegie Mellon University
English, Tamil