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Nicholas Vadivelu
Chicago, IL, United States


Machine Learning (JAX/Flax)

My Biography

Nicholas is a Data Scientist experienced in deep learning research, machine learning model development, and data analytics. Nicholas did deep learning research on collaborative self-driving at Uber ATG, helped improve the neural network optimization algorithm library K-FAC at Google Brain, accelerated BERT inference at NVIDIA TensorRT, and developed data-driven models to identify fraud at John Hancock Financial. He has published research in areas like collaborative self-driving and differential privacy. Outside of Machine Learning you'll find Nicholas trying new cuisines, at the gym, or binging shows.