Building reliable AI systems and studying how they affect people.
I'm an M.S. student in Computer Science at USC, currently interning in software engineering at Google. With a background in Human-Centered Design & Engineering from the University of Washington, I'm interested in building AI systems that are reliable, thoughtfully evaluated, and grounded in how people actually use them.
Featured Work
AI Systems at Google
Built internal AI systems for software issue triage, shareable investigation sessions, continuous user-feedback analysis, and developer workflow automation.
Mitigating Dialect Bias in Toxicity Detection
Evaluated vector scaling and adversarial debiasing for a toxicity classifier that disproportionately flagged African American English.
LLM-Assisted Debugging for Novice Programmers
Built and evaluated an LLM assistant that helped novice programmers interpret errors and act on debugging guidance.
Currently
Working across software engineering and academic research, with a focus on reliable AI systems and human-AI interaction.
Software Engineer Intern, Display & Video 360 Infrastructure — building internal AI systems for developer workflows.
See summary →University of Southern California
Completing an M.S. in Computer Science, with coursework and projects in AI and machine learning.
More about me →Research
Contributing to early-stage research on persona inference and relational behavior in conversational AI.
Research in progress →