Suvarna Kadam

Leading R&D and productization of an autonomous clutter-cleaning robot and multiple AI MVPs, delivering sim-to-real VLA policies and 6D pose-based pick-and-place solutions for domestic and industrial use cases.

Founded and led R&D for CV/ML products including auto-annotation, AI-assisted teleprompter, and robotic perception for AGVs while advising AI startups and building team expertise in ROS2 and modern ML tooling.

Led scaling of the Computer Vision division from 3 to 28 engineers and delivered cloud and on-prem Smart Surveillance MVPs (Custom Yolo detectors, Face Recognition, ALPR) while architecting an Advanced RAG knowledge assistant for secure enterprise intelligence retrieval.

Conducted research on target-driven one-shot Unsupervised Domain Adaptation improving human pose detection and multi-object tracking in novel environments; modularized sensor infrastructure and co-advised a PhD student.

Optimized custom computer vision detectors on NVIDIA Jetson TX2 achieving 20x inference speedup for an autonomous wheelchair and implemented fail-safe perception and privacy-preserving video obfuscation.

Activities and societies: Authored ICIAP 2023 publication; maintained multi-sensor research infrastructure and co-supervised PhD students.

Postdoctoral research fellowship focusing on target-driven one-shot unsupervised domain adaptation and robust human pose detection.

Ph.D. in Computer Science focusing on generative approaches for visual cognition and few-shot learning, culminating in a dissertation titled 'Learning from a Few Samples: A generative approach for Visual Cognition.'

Completed Master of Science in Computer Science with coursework and projects in machine learning and computer vision.

Activities and societies: Research training in machine learning and computer vision; coursework supporting later doctoral research.

Master of Science in Computer Science covering advanced topics in machine learning, computer vision, and research methods.

Bachelor of Science in Computer Science covering foundational topics in computing and software development.

Bachelor of Science in Computer Science providing foundational training in programming, algorithms, and systems.