ABDELKADER DEBAB, P.Eng

Led the architecture and deployment of a complete manufacturing robotic line, coordinating mechanical, electrical, software, and production teams. Designed and implemented a vision-based AI inspection system that automated quality control and reduced manual intervention. Built end-to-end AI vision pipelines—from dataset creation to training and real-time inference—using PyTorch and TensorFlow. Managed project timelines and cross-functional communication to ensure successful integration of robotics, controls, and AI systems. Coached technicians and engineers, elevating team proficiency in robotics, troubleshooting, and automation best practices. Drove continuous improvement initiatives across robotics, controls, and instrumentation.

Led the development of a cross-platform application for truck firmware maintenance and operational parameter tuning. Designed an embedded Linux telematics client for real-time vehicle monitoring. Built GPS-based delivery and maintenance applications using Android Studio. Collaborated with field teams and stakeholders to refine requirements and improve system usability.

Sustained and improved the performance of signal logging instrumentation. Led root-cause analysis and corrective actions for system-level issues across electronics and firmware. Led the development of a custom circuit and application for battery cell performance assessment, enabling more reliable testing. Implemented new QC workflows and preventative maintenance processes that increased reliability and reduced long-term service costs.