Summary
Pradyumna Reddy is a research scientist with 13 years of experience at the intersection of computational geometry, machine learning, and practical analytics, currently working at Autodesk. He completed a PhD under Niloy Mitra at UCL’s Smart Geometry Group and has interned at Google Brain and Adobe Research, where he developed unsupervised methods to infer vector graphics parameters from raster images. Prior roles include research at Huawei and applied analytics at Walmart Labs, where he built scalable microservices and tackled combinatorial ML problems. His work spans object-centric unsupervised decomposition across modalities and practical production-facing analytics, bridging deep research with deployable systems. Based in the UK, he also brings a strong academic-industrial pedigree dating back to BITS Pilani and an undergrad research stint at Harvard Medical School. A not-obvious strength is his ability to move smoothly between low-level geometric theory and high-impact engineering delivery.
13 years of coding experience
1 year of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
University College London
English, Telugu, Hindi