Mansour Phoulady

Achieved 93% precision in ML-based robotic defect detection by optimizing image acquisition quality in collaboration with external AI partner (PixelLab.ai) Analyzed 1,900+ images over 6-month validation cycles using automated CIELAB ΔE and CIEDE2000 color difference algorithms for high-precision quality assessment Led cross-functional coordination between engineering, quality assurance, and vendors to accelerate deployment readiness of automated inspection systems

Reduced manual inspection effort by 80%+ through automated visual monitoring system for storage stability testing, integrating machine vision hardware, climate chamber control, and Python-based analytics Developed intelligent workflow executing scheduled image capture, ROI isolation, advanced color computation, threshold-based alerting, and time-lapse video synthesis Designed custom 3D-printed fixtures and established centralized data pipelines on shared network infrastructure for cross-departmental access