Mohammad Faisal

– Built a Python-based pipeline simulator enabling scenario-driven optimization for climate-neutral infrastructure. – Conducted sensitivity analyses to identify cost drivers, reducing levelized costs by up to 20%. – Documented Master’s thesis revealing 50% potential cost savings in hydrogen transport infrastructure. – Deployed a web-based simulation tool providing stakeholders real-time, interactive access for decision-making.

– Designed and simulated compressor geometries using AutoCAD and ANSYS CFD/CFX. – Optimized flow paths, improving compressor efficiency by 15% and supporting advanced energy system design.

– Modeled a thermal energy storage system (UTES) in MATLAB, boosting efficiency and planning accuracy. – Applied Pyomo optimization to harness waste heat from data centers for renewable storage solutions

– Applied lean manufacturing principles (5S, Kaizen, sequence balancing), reducing cycle time by 10 minutes/unit. – Improved production line efficiency by 33% by monitoring and refining KPIs in a high-volume automotive facility.