Jibin Rajan Varghese

I currently lead the deployment and security of Generative-AI models for visual applications at Nvidia’s Picasso Edify line of products, which includes state-of-the-art models such as text-to-image, image-to-3D, and fine-tuning. I am responsible for AI Safety and Security of the products, and a founding member of the Red Team 🚩 efforts to ensure safe, unbiased and trustworthy AI.

Previously, I worked with the Autonomous Vehicles business unit at Nvidia, focusing on hyper-scale simulation, replay, and validation of self-driving vehicles in the cloud. I was instrumental in optimizing performance for DRIVE simulation and augmented re-simulator, significantly enhancing data-center utilization and workflow efficiency. My work has enabled autonomous vehicles to become safer, by training them to drive billions of miles in photorealistic virtual worlds by performing hardware-in-the-loop simulation. My earlier roles involved leading impactful projects in robot simulation and industrial automation for the software simulation leader (Dassault Systèmes SE) and the world’s largest 3-wheeler automaker (Bajaj Auto) respectively.

I hold a Master’s in Computer Science from Texas A&M University and a Bachelor’s in Mechanical Engineering from National Institute of Technology Calicut. I have also developed multiple patented technologies in robotics and authored a seminal work on disaster management using autonomous quadcopter swarms, published in a book chapter by Elsevier.

As a domain expert in AI and unmanned systems, I’ve contributed to various articles and conferences including showcasing the world’s first map of music at ACM Multimedia. Outside of work, I currently review for NeurIPS on the AI Ethics panel and judge various industry competitions. Previously, I’ve shared my expertise as an instructor at robotics workshops, such as RobArch at ETH Zurich, Switzerland.