Starting in January ;)

Led a global team of data scientists analyzing fleet risks with full-flight sensor data.

Building ML and Gen AI products that improve effiency and data quality.

Completed four six-month rotations in the Engineering Career Foundation Program (ECFP), gaining experience in data science and engineering. Key accomplishments include certifying new technologies during COVID-19, which helped us receive 'Engineering Team of the Year', and delivering time-saving ML models.

Joined Boeing via the Engineering Accelerated Hiring Initiative (EAHI). Managed certification projects in Boeing's largest pre-production lab, leading tests on over 30 unique aircraft systems and subsystems, and collaborating with teams to diagnose and resolve issues before software releases.

Developed hardware and software for Urbano nodes——low-cost solar-powered sensors aimed at studying air quality in Detroit. Worked with local students to deploy the sensors and analyze data in areas with elevated rates of asthma and cardiovascular disease.

Analyzed the longevity of an autonomous door system at the Advanced Vehicle Integration lab. Developed a testing rig for life cycle analysis on the wire harness, informing investment decisions for the new system.

Designed and 3D-printed a model-scale car frame for testing an adaptive cruise control (ACC) algorithm as part of the Autonomous Vehicle Team. Coauthored a technical paper for the Society of Automotive Engineers (SAE) with the team.

Evaluated cross sections of solid-state battery samples, helping the team identify effective material deposition processes.