Summary
Dan Radenkovic is a Staff Engineer with a decade of experience building APIs, ML pipelines, and AI agents at Nylas, combining full-stack engineering with practical machine learning. Trained as an M.D. and sharpened by MOOCs from Stanford and Imperial College, he brings a rare blend of clinical thinking and quantitative rigour to product-focused AI work. His career spans startups and agencies where he shipped end-to-end web and automation solutions, from AI email assistants to developer-facing platform integrations. Based in Belgrade, he pairs hands-on implementation skills with technical leadership, mentoring teams while driving scalable backend systems. Notably, his background in medicine and digital marketing informs a user-centered approach to building intelligent, privacy-aware communication tools.
10 years of coding experience
13 years of employment as a software developer
Doctor of Medicine (M.D.) Medicine, Doctor of Medicine (M.D.) Medicine at University of Niš
Mathematics for Machine Learning Specialization MOOC - not an actual degree Mathematics and Computer Science, Mathematics for Machine Learning Specialization MOOC - not an actual degree Mathematics and Computer Science at Imperial College London
Mathematics and Computer Science, Mathematics and Computer Science at Gimnazija Pirot
Machine Learning Specialization - MOOC (not an actual degree) Artificial Intelligence, Machine Learning Specialization - MOOC (not an actual degree) Artificial Intelligence at Stanford University