Aummul Baneen Manasawala

Aummul Baneen Manasawala is an infrastructure strategy and operations professional specializing in large scale supply chain planning, artificial intelligence driven forecasting, and end to end infrastructure optimization. She currently serves at Amazon Web Services as a Senior S and OP Planner within the Infrastructure Capacity team, a role she has held since January 2026. In this capacity, she is responsible for capacity planning across the full spectrum of data center infrastructure components, including servers, racks, memory, storage, and networking equipment. Her work is structured around recurring planning cycles that continuously incorporate the latest demand signals to ensure supply alignment with rapidly evolving infrastructure requirements. She also leads strategy for the adoption and integration of Generative AI within supply planning at AWS, with a focus on improving forecasting accuracy, operational efficiency, and decision making at scale in a rapidly expanding infrastructure environment.
Prior to joining AWS, Aummul worked at Meta, where she contributed to global infrastructure capacity planning initiatives. Her responsibilities included architecting the plan of record for power allocation and resource deployment across worldwide data centers. She also developed data driven strategies for rack redeployment, supporting significant infrastructure optimization and cost efficiency improvements across the organization. Before Meta, she was at Cloudflare, where she owned demand and supply planning for compute, space, and power across more than 330 global data centers. In this role, she led S and OP processes, developed automated planning systems, and implemented machine learning based forecasting models that improved planning efficiency, reduced cycle times, and enhanced overall infrastructure visibility and responsiveness.
Earlier in her career, Aummul worked in the semiconductor industry at Maxim Integrated, now part of Analog Devices, where she focused on supply chain capacity planning, demand forecasting, and operational analytics. Across her professional experience, she has developed deep expertise in strategy, supply chain optimization, and infrastructure operations. A consistent theme in her work has been the ability to take a holistic end to end view of complex systems rather than operating within functional silos. She is strongly motivated by the broader impact of infrastructure at scale, particularly how modern cloud and artificial intelligence systems enable global access to knowledge and intelligence. This purpose continues to guide her commitment to building resilient, efficient, and intelligent infrastructure systems that expand access to information worldwide.

• Entrepreneurship Acceleration Program
• AI Infrastructure and Operations
• Supply Chain Fundamentals

• University of California, Berkeley - MS, Industrial Engineering and Operations Research
• Shri G S Institute of Technology & Science - BE, Mechanical Engineering

• INFORMS (Operations Research Professionals)
• DCD (Data Center Dynamics)

• Project Leader - The Summer Math and Science Honors Academy (SMASH)