Suvarna Kadam
@suvarnakadam
Senior AI consultant and applied researcher specializing in computer vision, robotic perception, and model optimization.
What I'm looking for
I am a Senior AI Consultant and Applied Researcher with a 22-year track record delivering high-impact computer vision and robotic perception solutions. I focus on practical research application, model optimization for edge devices, and enterprise AI productization.
My PhD-level expertise in Unsupervised Domain Adaptation (UDA) and meta-learning has produced peer-reviewed work, including a target-driven one-shot UDA paper accepted at ICIAP 2023. I consistently translate research into production-ready systems that improve robustness in novel environments.
As a technical leader, I have scaled teams from 3 to 28 engineers and driven strategic roadmaps for CV divisions, overseeing cloud and on-prem pilots such as low-code smart surveillance MVPs with custom detector training, ALPR, and face recognition.
I deliver measurable engineering results—examples include a 20x inference-speed improvement on NVIDIA Jetson TX2 for real-time edge perception—and I mentor teams to accelerate PoC development while implementing secure, privacy-conscious deployments.
Experience
Work history, roles, and key accomplishments
Machine Learning Consultant
Witsense AI
Aug 2017 - Present (8 years 1 month)
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.
VP Solutions (Computer Vision)
Kecilin Id
Jul 2023 - Nov 2024 (1 year 4 months)
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.
Postdoctoral Research Fellow
Istituto Italiano di Tecnologia
Mar 2022 - Mar 2023 (1 year)
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.
CV/ML Consultant
Blueberry Technology Inc
May 2021 - Dec 2021 (7 months)
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.
Education
Degrees, certifications, and relevant coursework
Savitribai Phule Pune University
Doctor of Philosophy, Computer Science
2017 - 2022
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.'
University of Pune
Master of Science, Computer Science
2011 - 2013
Completed Master of Science in Computer Science with coursework and projects in machine learning and computer vision.
University of Pune
Bachelor of Science, Computer Science
1993 - 1997
Bachelor of Science in Computer Science covering foundational topics in computing and software development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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