Summary
Jaromir Savelka is a Computer Science Associate Research Fellow at Carnegie Mellon University with 12 years of experience at the intersection of NLP and society, focusing on human-centered AI for law and education. He develops and evaluates language technologies that improve fairness, accessibility, and effectiveness in foundational systems—empowering legal professionals, expanding access to justice, and creating adaptive learning environments. His background blends a PhD in Intelligent Systems with formal legal training (JUDr), enabling a rare cross-disciplinary perspective on technical design and regulatory or domain constraints. Jaromir has moved between academia and applied roles—postdoctoral research at CMU’s TEEL lab, data science work in industry, and ongoing research fellow duties—bringing both rigorous evaluation methods and production-minded implementation. He is based in the Greater Pittsburgh region and is particularly interested in pragmatic ways that NLP can reduce barriers in legal and educational settings.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Masaryk University
Doctor of Philosophy - PhD, Intelligent Systems, Doctor of Philosophy - PhD, Intelligent Systems at University of Pittsburgh