Siddha Ganju

Siddha Ganju, whom Forbes featured in their 30 under 30 list, leads AI innovation in LLM and manufacturing technologies at Nvidia. Siddha previously worked on NeMo Guardrails (LLM), deployment of Medical Instruments, and in the self-driving teams for simulation, perception, scalable training, and inference along with global automotive partnerships and go-to-market strategies. She also led AI strategy and innovations in Floods and Disaster Relief. Previously at Kinara, Inc. (formerly DeepVision), she joined as the first engineer and developed deep learning models for resource constraint edge devices.

A graduate of Carnegie Mellon University, her prior work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN’s petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. Siddha mentors and cofounded the Learn-To-Race team at Carnegie Mellon University which landed at the podium for high-speed racing.

Siddha authored O’Reilly’s 600-page book on Practical Deep Learning for Cloud, Mobile, and Edge. With its strong reception, the book is being translated into five languages all in less than a year of publication.

Serving as an AI domain expert, she has also been guiding teams at NASA AI Accelerator which has made many successful and widely published discoveries.