Abdul Mathin Shaik

About Abdul Mathin Shaik

I\'ve spent 8 years on factory floors figuring out why things break — then building…

Experience

1. Technical Project Manager

   Applied Materials

   Jul 2022 — Present · Austin, TX, US

   I apply both Lean Six Sigma and Computer Vision to drive quality, efficiency, and automation in manufacturing. Whether it’s leading process improvements or building AI-driven inspection systems, I deliver measurable impact on cost and performance.Lean Six Sigma & Process Improvement: • Led 8D problem-solving using ANOVA, DOE, and fishbone analysis to resolve systemic defects, saving $500 K+ annually. • Designed and deployed SPC-driven dashboards (SQL, Tableau) to monitor First Pass Yield, cycle-time variation, and OJT performance. • Executed Lean line design and value stream mapping, improving labor efficiency by 10% and eliminating non-value-added activities. • Led global Kaizen events (Austin, Singapore), training cross-functional teams in Lean tools and driving rapid, data-driven improvements. • Founded a frontline Technician Kaizen Program, empowering operators to identify waste and propose solutions, embedding a continuous improvement culture.Computer Vision & Automation: • Built and deployed object detection models (YOLO, Ultralytics) to catch missing screws, misaligned parts, and label errors,preventing escapes and saving $250 K/yr. • Developed instance segmentation models with Mask R-CNN (PyTorch) to detect fine cracks, chips, and surface defects on ceramic parts, enabling pixel-level localization and saving $250 K/yr. • Created an ML model (Gradient Boosting) to classify untagged field failures (80% accuracy), accelerating root cause analysis. • Working on scalable CV solutions using data augmentation, CLIP/Faiss-based similarity, and few-shot learning to generalize across parts and defect types.I’m passionate about tackling manufacturing challenges from both sides of the coin: Process excellence through Lean Six Sigma and automation through Computer Vision—to turn data and images into operational advantage.