Summary
Bhalaji Nagarajan is a postdoctoral researcher based in Barcelona with 11 years of experience bridging deep learning research and software engineering. He holds a PhD (Cum Laude) focused on mastering the triad of data, models and tasks for image understanding and has 7+ years specializing in noisy labels, self-supervision, sample importance and uncertainty quantification. Before academia he spent 3+ years building full-stack JavaScript products and test frameworks, bringing production-minded engineering to research projects. His work spans multi-modal affective computing, scene understanding and generative approaches for multi-label image problems, with hands-on experience in optimization and domain adaptation. Beyond research he leads community education initiatives teaching computing and English to migrant children, demonstrating sustained commitment to tech-for-good. Colleagues know him for combining rigorous theoretical work with pragmatic tooling and reproducible experiment practices.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics and Computer Science, Cum Laude, Doctor of Philosophy - PhD, Mathematics and Computer Science, Cum Laude at University of Barcelona
Master of Technology (M.Tech.), Computer Science and Engineering, 9.51/10 (Gold Medalist), Master of Technology (M.Tech.), Computer Science and Engineering, 9.51/10 (Gold Medalist) at Amrita Vishwa Vidyapeetham
Tamil, English, German