Beginning my PhD in Mechanical and Aerospace Engineering at UC San Diego, advised by Prof. Boris Kramer.

Starting as a student researcher at UC San Diego ahead of the fall semester.

Attended the URSSI Summer School in Boston, MA, an intensive workshop on research software engineering practices and sustainability that closely mirrors how I think about building reusable scientific software.

Co-op at Collins Aerospace (Air Combat Test and Training, Cedar Rapids, IA). Contributed to a C++-based real-time distributed communications system used in mission-critical aviation applications, developing across the full stack from low-level radio firmware interfaces to application logic. Designed hardware-in-the-loop functional tests and worked within an Agile SCRUM team.

Machine Learning Engineer at ChangeAerial. Refactored a legacy defect-detection pipeline, fine-tuned Stable Diffusion XL to generate synthetic training imagery, and built image-registration tools for aerial data preprocessing.

Naval Research Enterprise Internship Program (NREIP), Atmospheric Propagation Intern. Independently designed an uncertainty quantification pipeline to assess the accuracy of aggregated weather sensor networks, with a full CI/CD system backed by Docker and GitHub Actions.

Joined the SDSU Machine Vision and Perception Lab under Prof. Xiaobai Liu as a research assistant, where I worked on building simulation environments for training robotic agents. Our team also won a $3,000 grant after completing the NSF I-Corps program.

NSF Research Experience for Undergraduates (REU) at the University of North Texas: Beyond Language: Training to Create and Share Vector Embeddings across Applications. Developed a machine learning model to count individual trees from raw 3D LiDAR point clouds, achieving 85% accuracy. Trained computationally intensive models on the TACC supercomputer to enable transfer learning for downstream tasks.

Joined the SDSU Climate Informatics Lab under Prof. Sam Shen as a student researcher. Worked primarily on using, testing, and fine-tuning large-scale weather forecasting models such as FourCastNet and FourCastNetv2, and contributed to a model democracy effort that makes these forecasting tools accessible to smaller university research groups.

Started at San Diego State University, pursuing a double major in Computer Science and Computational Mathematics.