01 - VISION SYSTEMS ARCHITECT
I architect camera-to-decision systems for factories and robotics teams that cannot afford fragile demos: PLC triggers, multi-camera acquisition, edge AI, traceability, storage, commissioning, and support built into one reliable workflow.
02 - SELECTED VISION SYSTEMS
Each case study is framed around the decisions that matter when a vision system has to leave the demo table: acquisition, perception, control, traceability, support, and deployment risk.
Lead Vision Engineer
Production vision station architecture that connects PLC events, multi-camera capture, AI decisions, traceability, and commissioning into a repeatable standard.
Machine Vision Engineer
Delivered industrial imaging work across line-scan, area-scan, calibration, OpenCV analysis, and vendor vision platforms under real production constraints.
Robotics R&D Engineer
Built robotic perception workflows for mining automation using ROS 2, YOLO detection, point-cloud position estimation, and Gazebo simulation.
Research Internee
Built human-tracking robotics logic across illumination changes, pose variation, occlusion, and camera motion using visual features, K-D tree classification, Kalman filtering, ROS 1, Gazebo, and Dijkstra planning.
03 - EXPERIENCE MAP
I bring the rare combination hiring teams look for but often struggle to find: robotics research depth, industrial machine-vision delivery, PLC-aware production thinking, and the discipline to make a system supportable after launch.
04 - VISION STACK
My work sits where teams usually lose time: between cameras, automation, IT/OT, quality, mechanical constraints, maintenance, storage, databases, and deployment. I connect those pieces so the result is not just detection, but a decision process people can trust.
04 - CAPABILITIES
I do not stop at a proof of concept. I design the path from first image to commissioned station, support model, release practice, and repeatable rollout.
Multi-camera acquisition, line-scan and area-scan systems, OpenCV, calibration, lighting, image quality, and AI inference handled as production engineering, not decoration.
PLC handshakes, edge reliability, NAS/image storage, database traceability, diagnostics, and reporting designed so problems are visible, recoverable, and explainable.
05 - CONTACT
If your team needs industrial vision, robotics perception, automation, edge AI, traceability, or production deployment, I can help turn uncertainty into a system that is specified, built, validated, and trusted.