v.2026.05 // operating
A track record of engineering industrial computer vision, distributed cloud backends, and structured discovery engagements. Built for production reliability, verifiable latency, and systems that can be maintained.
3D Photogrammetry, Computer Vision & Sub-Millimeter Physical Measurement
Point-and-capture 3D spatial measurement and defect evaluation platform combining short video ingest, photogrammetry, and deep learning segmentation to calculate sub-millimeter tolerances across aerospace, automotive fleets, and residential construction.
Cross-disciplinary case studies across computer vision, event-driven distributed backends, and product discovery.
Re-identification-based tracker maintaining individual target continuity across distributed multi-camera setups using optimized Mask R-CNN and DeepSORT backbones.
Multi-tier cloud platform architecture introducing bi-directional WebSocket pipelines for instantaneous operational telemetry and document-relational hybrid data mapping.
Automated logistics and dispatch workflow system incorporating Google Vision OCR for real-time document extraction and relational data mapping.
Structured discovery engagement de-risking a multi-stakeholder application concept through architectural validation, user flow modeling, and interactive prototyping.
Automated license plate recognition and vehicle attribute classification system designed for real-time traffic monitoring and access control.
Whether it is edge computer vision, automated defect evaluation, or an event-driven interpretation layer, we start with structured discovery to de-risk architecture before writing code.
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