I’m a broadly experienced engineer with a passion for designing robust, paradigm-changing systems.

Since youth, I've long been fascinated by systems of all kinds, from traffic management to networked light-switches in housing. Yearning for more academic rigor than I could find in school, I joined Dr. Burnett's research lab in the summer of 2018. In my time there, I worked primarily on eXplainable Artificial Intelligence developing a qualitative user study.  After my internship ended, I continued work with the lab for a subsequent 2 years, continuing research on XAI in collaboration with DARPA and Microsoft Research (on what would eventually become Microsoft Copilot).

The following year, I began my undergraduate career at Stanford University with an interest in Computer Science and Mechanical Engineering. To make a long story short, I found the intersection of the two fields in Electrical Engineering, particularly on the Hardware & Software track. I found this field gave me the most freedom to think creatively, tackle challenging problems, and innovate with the design of remarkably complex systems.

Since then, I've been studying VLSI, Computation Theory, and Artificial Intelligence in an endeavor to become an expert in Chip-based system design, while continuing to develop depth in product development with hands-on courses like CS194W, ME210, and projects like my Modulin, to name a few.

Currently, I'm finishing the first year of my Master's degree, and considering both the option of entering industry, or potentially earning my Ph.D. in Electrical Engineering. What comes next? Only time will tell!