Professional Overview
Computer vision engineer with 10+ years taking CV from prototype to production. Built and ran a CV company in the US, shipping retail CV at national scale, including product identification across thousands of SKUs and face matching with liveness for age-gated transactions. Built multimodal audit engine for maritime safety (CCTV, Radar, Ecdis screens, audio & documents) and turned into evidence-backed findings. Deep edge experience: NVIDIA Jetson from TK1 to Orin, TensorRT, DeepStream, and moving GPU pipelines onto CPU-only hardware such as Raspberry Pi / Qualcomm Snapdragon within tight memory budgets
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
