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Neeraj Pradhan

Neeraj Pradhan
Neeraj is a software engineer on Pyro, a deep probabilistic programming language built over PyTorch. He was earlier an engineer on uberPool, working on algorithms and infrastructure for pooling riders. He is interested in synthesizing techniques from machine learning research to build intelligent systems that scale to real world problems. Prior to Uber, Neeraj worked on search, personalized recommendations, and learning to rank at Groupon. He did his masters in Operations Research from Stanford University, and undergraduate in Physics and EE from BITS Pilani.

Research Papers

Pyro: Deep Universal Probabilistic Programming

E. Bingham, J. Chen, M. Jankowiak, F. Obermeyer, N. Pradhan, T. Karaletsos, R. Singh, P. Szerlip, P. Horsfall, N. Goodman
Pyro is a probabilistic programming language built on Python as a platform for developing advanced probabilistic models in AI research. [...] [PDF at arXiv]
Journal of Machine Learning Research (JMLR), 2018

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