Summary
Mudit Srivastava is a data-driven semiconductor supply chain professional with 10 years of engineering and analytics experience, currently driving planning and controlling for silicon foundries at Infineon in Munich. He combines a B.Tech. in Computer Science with business training from TUM, enabling him to bridge advanced data science, software development, and operational decision-making in high-stakes manufacturing environments. At Infineon he progressed from demand-forecasting research to supply chain innovation and now foundry planning, consistently delivering analytics-led improvements and process innovation. An Android enthusiast who experiments with Deep Learning and AI on GitHub, he brings hands-on software skills to production analytics solutions—an uncommon blend for supply chain roles. His early industrial roles in large Indian operations (Coal India, rail and steel vocational training) give him practical reliability and safety sensibilities that inform robust, operationally realistic modeling.
10 years of coding experience
3 years of employment as a software developer
Business Administration and Management, General, Business Administration and Management, General at TUM School of Management
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Indian Institute of Technology (Indian School of Mines), Dhanbad
Higher Secondary Education (12th), Science (Physics, Chemistry, Mathematics, Computer Science), Higher Secondary Education (12th), Science (Physics, Chemistry, Mathematics, Computer Science) at Krishna Public School
English, Hindi, German