Zubin Pahuja

Research-driven applied ML engineer: Zubin combines academic research in self-supervised computer vision with production ML engineering. His M.S. thesis framed video colorization as a self-supervised task to learn spatiotemporal features useful for tracking and segmentation, and he has moved that research-first mindset into engineering roles at Microsoft, Uber, and Dropbox. handle+2

Cross‑company experience at scale: He has held senior and staff ML engineering roles at large product companies (Microsoft, Uber) and now holds a staff/tech‑lead role at Dropbox, indicating experience shipping ML systems in production and leading teams/projects. linkedin+1

Open‑source builder and hacker: maintains several public GitHub repositories (e.g., PubPredict, eidetic) and participates in ML/agent hackathons, showing hands‑on implementation skills across research and product-focused codebases. github+1

Early research & visualization experience: undergraduate fellowship at UIUC's NCSA (SPIN) and work with AVL/eDream indicate a foundation in visualization and research projects dating back to his undergrad years. illinois