Senior AI Engineer
Seven years colaborating and leading teams, building real-world computer-vision systems, from ISO-certified biometrics to city-scale traffic AI to Agentic AI to 3D vehicle reconstruction. Below are the projects I shipped.

Led R&D and delivery of the face-recognition and anti-spoofing stack.
A facial recognition platform engineered for high-stakes identity verification. I directed the research, training, and productization of the core face engine and the presentation-attack detection layer, successfully earning the system its ISO/IEC 30107 certification. This solution was seamlessly deployed into a diplomatic payment gateway and a regional educational attendance system running efficiently on Edge hardware.

From Faulty prototype to production-ready solution.
A computer-vision queue-management product designed for high-volume vehicle-inspection centers, where lane throughput directly dictates operational KPIs. I owned the hardening phase—transforming an initial pilot into a robust, production-ready system capable of withstanding extreme field conditions. The final architecture runs end-to-end on a single embedded edge device, eliminating cloud latency and dependencies.
Directed model optimization and edge deployment of an 8-model AI suite.
A city-scale traffic-intelligence platform powered by eight cooperating computer-vision models, enabling multi-camera tracking, sensor-fusion speed estimation, in-cabin behavior detection, and an algorithmic reckless-driving classifier. I led the migration of the entire software suite from server-grade GPUs to NVIDIA Jetson AGX edge units in production. This effort maintained strict accuracy thresholds while unlocking real-time, multi-camera processing capabilities at the edge.

Lead Architect: End-to-end research, pipeline development, and deployment.
An end-to-end multi-camera tracking system developed for a major national energy provider, designed to stitch together the complex journeys of vehicles and pedestrians across expansive service station footprints. I independently managed this project from the initial research phase—selecting and optimizing the re-identification stack—through to full deployment. The system successfully translates raw camera feeds into actionable operational dashboards, significantly strengthening the security posture for site stakeholders.
Managed the end-to-end proof of concept architecture and delivery.
A pioneering proof-of-concept initiative translating advanced Gaussian splatting algorithm into practical, industrial vehicle-inspection workflows. I led the development of a complete pipeline capable of capturing a vehicle in-bay and reconstructing it in high-fidelity 3D. The resulting operator-facing navigable model provided audit-grade documentation, equipping inspectors with next-generation spatial visualization tools that revolutionized their standard operational procedures.
Open to interesting opportunities, advisory work, and collaborations. The fastest way to reach me is email.
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