Core Expertise
Machine Vision
15+ years designing industrial inspection systems. Defect detection, robot guidance, dimensional measurement. Accuracy down to 3 microns, throughput up to 500 pcs/min.
AI & Deep Learning
Neural networks for industrial quality control, object detection, segmentation. Building AI agents, RAG systems, and MCP integrations for developer tooling.
Industrial Automation
PLC/SCADA integration, embedded systems, real-time data collection. Systems running 24/7 in production lines since 1995.
.NET & Desktop
C#, WPF, cross-platform frameworks. Custom vision frameworks used across dozens of industrial installations in furniture, pharma, food, and steel industries.
Highlights
- Designed vision systems controlling 6 ABB robots at 500 pcs/min for food industry automation
- Built cloud computing framework orchestrating 150 machines (32-core each) across AWS, Azure, IBM
- Created furniture panel inspection running at 100 m/s with 0.2mm accuracy
- Developed cross-platform mobile app with 1M+ users on Android, iOS, Windows Phone
- Published: "EYEVISION: An Innovative Framework for Artificial Vision Systems" (2011 World Congress)
- Industrial machine failure detection through acoustic anomaly analysis using deep learning
- AI-powered OCR for analog meters, natural language database queries, automated document analysis
By the Numbers
30+Years Experience
35+Industrial Projects
8+Industry Sectors