— Multidisciplinary engineer delivering performance gains in manufacturing, simulation, and data science. — Combines mechanical design, AI, and lean methods to boost efficiency, accuracy, and reliability. — Proficient in FEA, CFD, machine learning, and smart factory tools using Ansys, Comsol, Matlab, and SQL. Key Achievements: — Design & Simulation: Cut prototyping costs by 30%; enhanced design cycles and CAD-to-manufacture throughput via FEA, CFD, and precision tools. — Data Science & ML: Achieved <5% prediction error with ANFIS+GA; built high-accuracy predictive models; automated quality checks with image processing. — Manufacturing Optimisation: Applied lean Six Sigma to cut cycle times; improved layout and CNC-AM integration for higher throughput and flexibility. — Data Management & Visualisation: Automated design tools; built real-time KPI dashboards improving OEE by up to 10%; enhanced cross-team data visibility.