Kshitiz G.

Kshitiz G. is a Senior Solutions Architect at NVIDIA, specializing in developing and demonstrating solutions for Cloud Service Providers like AWS using NVIDIA’s machine learning and deep learning technologies. Prior experience includes roles as a Reinforcement Learning Research Assistant at the University of California, Berkeley, where Kshitiz worked on deep learning architectures for model fitting, and as a Machine Learning Intern at Ernst & Young, focusing on NLP applications for customer support email classification. Kshitiz has also contributed as a Data Science Consultant for Taco Bell Corporation, predicting product demand using extensive sales data, and developed an open-source data analysis package during a research assistantship at UC Berkeley. Earlier experience includes a Data Science Intern position at WellDone International, where Kshitiz implemented machine learning for predicting water point failures. Kshitiz holds a Bachelor of Arts in Statistics from the University of California, Berkeley.