Lynnwood, Washington, United States
I’m a Computer Science student at the University of Washington focused on building scalable backend and cloud-based systems. I’m particularly interested in designing infrastructure that is clean, efficient, and built with production thinking in mind. I’m most motivated when I’m working in execution-driven environments where ownership and initiative are expected. Whether it’s architecting a serverless application or taking an idea from concept to deployment, I enjoy being involved in the full lifecycle of building something meaningful. Recently, I’ve been exploring cloud-native architecture on AWS, event-driven systems, and ways to turn small ideas into real, usable tools. Outside of coursework, I enjoy experimenting with small ventures and projects that challenge me to think beyond just code, including testing ideas, building systems around them, and refining execution. Always happy to connect!
Mentored first year engineering students through the design process, guiding teams in brainstorming, prototyping, and refining solutions while supporting problem solving and overall project development. Provided feedback on design decisions, helped break down complex problems into manageable steps, and fostered a supportive environment where students felt comfortable asking questions and exploring ideas
Researched political bias in LLMs, building a 900-evaluation pipeline to test whether GPT-4o produces reliable summaries from politically skewed sources. Found that right-leaning single-source inputs hallucinated at nearly double the rate of left-leaning inputs on political topics, and that explicit neutrality instructions were insufficient to prevent directionally biased confabulation.
Evaluated AI generated outputs against structured rubrics to assess quality, accuracy, and alignment with expected behavior across different scenarios Identified inconsistencies and edge cases in AI responses, documenting findings to help improve model performance and reliability
Provided individualized support to neurodivergent children by adapting activities, communication styles, and routines to meet each child’s specific needs, helping them build confidence, social skills, and independence Created a safe and supportive environment while managing behavior with patience and consistency, working closely with children to encourage engagement, emotional regulation, and positive interactions