Inspection systems that survive real factories
I am an industrial computer-vision and 3D metrology systems leader focused on building inspection, automation, and data systems that work under real production conditions. I specialize in turning difficult inspection problems into working production systems: calibrated vision workflows, 3D line-scan inspection, fixtureless coordinate alignment, weak-feature recovery, barcode-linked traceability, AOI cross-validation, runtime diagnostics, and customer-reviewable acceptance outputs.
My career has moved across software development, electronics manufacturing, machine vision, process engineering, AI research, blockchain systems, and algorithmic trading. That combination gives me a practical engineering perspective: I understand the software, the machine, the factory, the operator, the data, and the customer requirement.
Today I lead advanced vision and field-engineering work involving calibrated inspection, 3D line scan, high-density connector validation, traceability outputs, customer deployment support, and technical training. Through Rlab and TopX, I continue to explore AI agents, financial ML, blockchain/EVM systems, multimodal reasoning, and software tools that accelerate engineering work.
Manufacturing vision problems are rarely solved by one tool or one algorithm. They require optics, lighting, calibration, software architecture, data structure, tolerancing, customer constraints, operator workflow, and production reality to work together. The best system is not just the one that finds the feature — it is the one that tells the engineer why it passed, why it failed, where the data came from, what changed, and what action should happen next.
