Siddha Ganju

Siddha Ganju, whom Forbes featured in their 30 under 30 list, leads AI innovation in LLM and Guardrails along with the deployment of medical instruments for NVIDIA partners at NVIDIA. 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. 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 co-founded 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.
Avatar photo

Posts by Siddha Ganju

Conversational AI

Develop Secure, Reliable Medical Apps with RAG and NVIDIA NeMo Guardrails

Imagine an application that can sift through mountains of patient data, intelligently searching and answering questions about diagnoses, health histories, and... 6 MIN READ