Another key step in my design journey was participating in and winning Boeing’s 2024 AI / ML Design Challenge. The challenge aimed to harness student innovation to advance Boeing's sustainability goals ♻️, as outlined in their Sustainability Report. The top 5 finalists presented their design to a panel of judges, and we were honored to win first place!

My solution, EcoPower, addressed the inefficiencies of auxiliary power units (APUs) during flight ground operations, which lead to excessive fuel consumption and emissions. We designed a solution that leverages multiple linear regression, deep learning, and reinforcement learning to optimize APU usage. I also learned so much about the important role of building sustainability into design.