Summary
Sujit Chhetri is a Sr. Principal AI Scientist with nine years of experience building production-ready ML and deep learning systems, most recently leading AI research and R&D lifecycles for security products at Palo Alto Networks and now at Saviynt. He blends theoretical research—PhD-level work in graph convolutional networks, dynamic graph embeddings and digital twins—with hands-on engineering to ship end-to-end pipelines and integrated security solutions. His background spans novel generative and embedding architectures, side-channel signal feature engineering, and practical optimization of deep training pipelines for large-scale security applications. Based in San Jose, he is a data-driven modeling enthusiast who translates academic advances into operational defenses against complex cyber-physical threats. Notably, his research has produced methods to infer computational graphs from scientific code and to detect cyber-attacks via physical-domain emissions—skills that bridge security, signal processing, and ML. He is known for advancing collaborative, research-led innovation that moves models from prototype to product.
9 years of coding experience
10 years of employment as a software developer
I.Sc Science, I.Sc Science at St. Xavier's college
Bachelor of Engineering (B.E.) Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electronics and Communications Engineering at Pulchowk campus, Institute of engineering
University of California, Irvine
Nepali, Hindi