Parth is a Senior Deep Learning Algorithms Engineer at NVIDIA, specializing in reinforcement learning and large language models. He leads the development of Nemo-RL, a scalable post-training library, and previously worked on the TensorRT inference library. He holds a Masters from Carnegie Mellon University, focusing on machine learning and systems design.
Outside of his core work with large-scale models, Parth has a demonstrated passion for applying his skills to create impactful solutions. His past work includes developing deep learning algorithms for novel hardware and contributing to significant projects in assistive technology, showing a clear interest in technology that solves real-world challenges.
He once collaborated with IIT Delhi on a low-cost Refreshable Braille Display, a project aimed at impacting over 15 million visually impaired people.
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