I design robotic systems that are robust, precise, and practical.

I’ve designed and built three complete robotic systems from the ground up, handling everything from mechanical design and fabrication to control software and integration.

The result is automation that improves consistency and throughput while remaining easy for teams to maintain and operate.

I combine traditional image processing with modern machine learning to build fast, explainable, and reliable vision systems.

At Intel, I developed the automated metrology platform that processes millions of measurements every week with 99.9% accuracy, balancing algorithm design, automation, and data flow.

My approach delivers vision systems that teams can trust for repeatable quality assurance and real-time process visibility.

I focus on using 3D printing for what it truly enables: advanced geometry, lightweight structures, and efficient use of materials. Every design is optimized for print time and strength.

I invented and published a new 3D printing method that extends beyond conventional FDM by introducing a novel material and deposition process.

This capability allows me to create components that are lighter, stronger, and precisely tailored to their application.

I build data systems that turn complexity into clarity, often creating new visualizations when standard charts aren’t enough.

I’ve developed machine learning models from scratch and managed large-scale databases, always focused on surfacing insights that engineers can act on.

The result is clear, actionable analytics that reveal bottlenecks, track performance, and help teams make better decisions faster.