Mohamed Mohamed AbdALhalim

Waste Reduction through Sample Size Optimization Proposed and validated a redesigned sampling tool, reducing sample size from 400g to 105g. This concept was proven to reduce annual product waste by 5-6 tons, leading to significant cost savings. Solved Chronic Product Caking Issue Led a root cause analysis for a recurring caking issue in seasonal onion powder. Proposed and validated an effective aeration system that would completely resolve the product stability issue. Conceptualized a Cost-Effective De-Stoner Alternative Developed a concept for a low-cost mechanical separation system using a vibrator and compressed air to remove high-density foreign materials, presenting a viable alternative to traditional machinery. Designed an AI-Powered Visual Inspection System Concept Conceptualized an AI system using Computer Vision to automate the manual inspection of product samples, which would increase the accuracy, speed, and objectivity of quality control checks.