Managing the architecting and deployment of NASA’s AI Lab. This includes being the Databricks admin, owning the Databricks environment, and allocating our resources to balance optimizing the cost and latency with our AI ML systems.

Working as the lead developer for the NASA HQ CAIO's AI Lab, owning the process end to end.

At ASRC Federal, I engineered innovative solutions for autonomous medical support in deep space missions. My work included developing a medical chatbot and a binary image classifier that achieved 94% accuracy, enabling early diagnostics without Earth-based physicians. I also led the design of an interoperability system to facilitate AI model access for astronauts, aligning with Artemis VI objectives.

During my internship at NASA Goddard Space Flight Center, I worked with the Distributed Systems Missions group to study interactions between autonomous systems and collect of planetary science data. Additionally, I developed a knowledge graph to connect professionals in similar fields, enhancing collaboration and mentorship opportunities. I also created an anomaly detection system using machine learning in C++ to protect satellite hardware from large coronal mass ejections, focusing on memory efficiency and compute speed.

In my role as a Research Assistant at UC Berkeley's Rausser College of Natural Resources, I collected, organized, and analyzed data from remote sensing instruments, collaborating with a team to develop statistical solutions and present findings through reports and presentations.