I’m a senior studying computer science at Arizona State University. My interests center on data, including scraping it from online sources, designing reliable databases and APIs, and analyzing data to understand what it is really saying. That curiosity has shaped my undergraduate experience and led me to two backend focused software engineering internships, one doing software development, and the other as a software test engineer.
During these roles, I became increasingly interested in how systems interpret natural language data requests, especially when a single request pulls information from multiple places. My research looks at how large language models can reason about these requests, break them into the right pieces, route each part to the correct data source, and then bring the results back together in a meaningful way. This work is supported by funding from the ASU Ira A. Fulton Schools of Engineering and on track for VLDB 2026 submission.
Alongside this work, I became interested in teaching and became a teaching assistant the database course at ASU, where I help students learn core relational database concepts. It has been one of the most valuable experiences for developing my communication skills, requiring me to translate complex ideas into clear explanations others can act on. That mindset has carried directly into my internships, where strong communication and technical skill go hand in hand.
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