Param Hanji is a Lead Research Scientist specializing in generative vision with 11 years of experience bridging computer vision, optimisation, and probabilistic machine learning. He has moved fluidly between academia and industry—earning a PhD from Cambridge and holding research roles at the University of Cambridge, Apple (camera algorithms), and now Cartwheel—bringing both theoretical depth and product-focused rigor. His work spans implementing state-of-the-art learning-based models and diving into the theory of probabilistic generative models, aiming to improve both sample quality and principled uncertainty. Comfortable shipping research into production environments, he has a track record of short, impactful stints across top labs and tech companies that accelerate applied research. Based in Cambridge, UK, he keeps an active personal webpage for more frequent updates, signaling a preference for rapid iteration and open scientific communication. Colleagues describe him as an early-stage researcher who pairs mathematical curiosity with practical engineering to push generative vision forward.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Cambridge
Bachelor’s Degree, Bachelor’s Degree at National Institute of Technology Karnataka
Contributions:4 PRs, 10 pushes, 2 branches in 6 months
cudaeratosthenes-algorithmgpusieveparallelize
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Param Hanji - Lead Research Scientist - Generative Vision