Siddha Ganju

Siddha Ganju, whom Forbes featured in their 2019 30 under 30 list, leads AI innovation and deployment in Medical Instruments for Nvidia partners and AI strategy and innovations in Floods and Disaster Relief at Nvidia (CA, USA). Siddha previously worked in the self-driving teams for simulation, perception, scalable training, and inference along with global automotive partnerships and go-to-market strategies. Previously at Kinara (formerly DeepVision), she joined as the first engineer and developed deep learning models for resource constraint edge devices.

A graduate of Carnegie Mellon University (PA, USA), her prior work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN’s petabyte-scale data. Siddha mentors and cofounded the Learn-To-Race team at Carnegie Mellon University which landed at the podium for high-speed racing. Siddha also authored O’Reilly’s 600-page book on Practical Deep Learning for Cloud, Mobile, and Edge.

Serving as an AI domain expert, she has also been guiding teams at NASA and has featured as a jury member in several international technology competitions. She has been an invited speaker and keynote speaker at multiple conferences and was the Youth Women’s Representative for India, in 2013 at the Institute of Engineering and Technology (IET).