Summary
Abdelrahman Allam is a Machine Vision Designer with a decade of engineering experience and over three years focused on developing industrial-grade vision inspection systems and research-driven ML solutions. Based in Burlington, Ontario, he prototypes, integrates and fine-tunes vision stations end-to-end—selecting hardware, calibrating systems on automated machines, and mapping PLC I/O—to inspect pharmaceutical and life-sciences products with production-ready robustness. His academic work combined classic image processing, feature-based ML and Faster R-CNN to achieve perfect defect detection on gears while cutting manual inspection by 60%, showing a strong ability to fuse domain knowledge with deep learning to reduce false positives. Comfortable collaborating across mechanical, systems and software teams, he also brings hands-on automation and robotics teaching experience and a practical background in factory installations and maintenance that informs pragmatic, deployable designs. Proficient in clean coding and best practices from his web and programming interests, he seeks challenging projects that reward creative, out-of-the-box solutions.
10 years of coding experience
3 years of employment as a software developer
Master of Applied Science, Collaborative Specialization in Artificial Intelligence, Master of Applied Science, Collaborative Specialization in Artificial Intelligence at University of Guelph
Bachelor's degree, Mechatronics, Robotics, and Automation Engineering, Bachelor's degree, Mechatronics, Robotics, and Automation Engineering at Arab Academy for Science, Technology and Maritime Transport