Suvarna Kadam
I am Suvarna Kadam, a Senior AI Consultant and Applied Researcher with 22 years of experience delivering high-impact computer vision and robotic perception solutions.
About
I am Suvarna Kadam, a Senior AI Consultant and Applied Researcher with 22 years of experience delivering high-impact computer vision and robotic perception solutions. I specialize in unsupervised domain adaptation and meta-learning, with a track record of optimizing models for edge deployment to achieve substantial speedups. I am a PhD-level expert who has led teams and defined enterprise AI roadmaps.
My work spans academic research, industry consulting, and startup leadership. I have built scalable teams (3 to 28), steered pilots for smart surveillance, and architected knowledge assistants using RAG. I enjoy mentoring and bringing research into production, and I continue to drive innovative CV/ML products through my own venture, Witsense AI, in Pune.
- 8 years' experience
- Joined November 2025
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Media & Entertainment
- Healthcare
- Professional Services
- Manufacturing
Work experience· 4 roles
Spearheaded scaling of the Computer Vision division from 3 to 28 members across 4 specialized sub-teams; led full-stack deployment (cloud and on-prem) of pilots, including a low-code Smart Surveillance MVP featuring Custom Detector Training (Yolo), Face Recognition, and ALPR; Architected an Advanced RAG-based knowledge assistant to securely retrieve insights from enterprise data; provided technical and research mentorship to accelerate PoC development and optimized deployment planning.
Authored research on Target-driven one-shot Unsupervised Domain Adaptation (UDA) for robust human pose detection and multi-object tracking in novel environments; maintained modular sensor infrastructure enabling cutting-edge CV research and cross-disciplinary experimentation; co-advised a PhD student in UDA.
Optimized custom CV detectors on NVIDIA Jetson TX2 for 20x real-time edge inference speed in an autonomous wheelchair project; implemented fail-safe perception protocols for navigation; engineered privacy measures (people obfuscation) during live video capture for autonomous systems.
Education
Certifications and awards
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