Role: Industrial AI & Systems Developer

Focused on optimizing manufacturing processes through computer vision and efficient machine communication protocols.

Technical Stack: Python (Qt, PyTorch, OpenCV), Jetson Nano, PLC protocols

Key Engineering Achievements:

• Communication Optimization: Reduced PLC Host communication overhead by ~30% by implementing a custom caching mechanism, significantly speeding up data throughput.
• Edge AI Deployment: Built and deployed a lightweight Artificial Neural Network (ANN) model on Jetson Nano edge devices. This reduced server load and improved defect detection response times.
• Tooling Suite: Developed a suite of GUI, ML, and telemetry tools using Python (Qt) and OpenCV to support shop floor operations.