Birju Shah

Birju Shah is an Adjunct Lecturer at the McCormick School of Engineering, Northwestern University, affiliated with the Segal Design Institute. He teaches Product Strategy, Planning, and Management through case and action learning approaches, focusing on scaling ideas from concept to execution in both corporate and startup environments. His professional background includes leadership roles at Uber, where he led product teams leveraging AI, computer vision, and sensing technologies to solve complex real-world problems such as GPS accuracy, identity verification, and accident prevention.

Education:

• MBA, Sloan School of Business, MIT (McGovern & Legatum Scholar)
• BSE in Industrial Engineering, Northwestern University

Research Focus: Machine data analysis, AI/ML platforms for consumer and enterprise applications, and product innovation in transportation systems. He emphasizes practical, scalable solutions through interdisciplinary collaboration.

Awards:

• McGovern Scholar, MIT Sloan School of Business
• Legatum Scholar, MIT Sloan School of Business

Teaching & Industry Linkage: Birju integrates industry challenges into curriculum, mentoring students to apply technical and strategic skills in large corporations or as founders. He prioritizes hands-on learning to bridge theory and real-world product development.