
I lead R&D organizations focused on turning AI and computer vision research into systems that work in practice.
For over 15 years, I’ve helped teams scale ideas into technically leading production systems, working across technical roadmaps, engineering culture, and delivery.
I come from a research background, PhD in computer vision, published and patented work, which continues to shape how I approach R&D.
“Currently advising companies on how to scale AI infrastructure without letting complexity outrun common sense.”
Led research and engineering for voice AI-agents and systems that automate business communication via phone and email, translating advances in speech and language models into dependable, end-to-end automation.
Led the development of a large-scale image and video analytics platform processing terabytes of data daily. Designed and operated training and inference pipelines running on 100+ GPUs, turning computer vision research into reliable, high-throughput production systems.
Led video processing R&D for intelligent video storage systems. Developed AI-accelerated and semantic video compression techniques aligned with emerging standards, delivering substantial gains in storage efficiency on specialized hardware.
Founded and led the computer vision center, building internal expertise across ML, image processing, and data pipelines. Represented the organization at international conferences and research forums.
Owned and evolved the software stack for multimedia delivery to millions of set-top boxes. Led full-cycle development across server-side and device-side systems in a high-scale production environment.
Founded and led an R&D company focused on advanced video enhancement, scene understanding, and 3D analysis. Early work laid foundations later applied in autonomous navigation and robotics.