• Working in the CannyLab under PhD Student Josh Kang

• Creating a testing framework to gauge the success of voice-based LLM models

• Developing methods for real-time LLM inference, enabling models to begin processing voice input as it’s being spoken

• Worked in a team of undergrads in the Berkeley Wireless Research Center under PhD students

• Created RIVET: Register transfer level (RTL) to Integrated circuits (IC) Via Effortless Tooling, poster submitted at MIT IEEE URTC 2025

• Used Rust to create a unified design flow tool that interfaces with tools such as Cadence Genus and Innovus to automate steps such as PAR, DVC, LVS

• Also worked on implementing connectivity analysis in Substrate 2, a set of electronic design automation tools written in Rust

• Worked in the Weak Interactions Group with Dr. Yury Kolomensky and Dr. Bradford Welliver

• Built a containerized application that monitors various instruments such as cryostats and noise thermometers

• Used the Django framework and QuestDB for creating an interactive web application that queries data from a database containing live sensor readings

• Currently working on building a high-performance data collection system from sensors sampling at 150k times a second that uses Lawrence Berkeley National Laboratory’s NERSC and HPSS

Interned in the Bioengineering department at Stanford University as part of the SIMR program. Worked in a group to design and test a device that uses near-infrared light to hasten the diagnosis of soft tissue sarcomas.