I'm a senior at UC Berkeley studying computer science and data science. At Berkeley, I'm the President of the Data Science Society and an incoming TA for Data 102. I conduct machine learning research at Berkeley Artificial Intelligence Research (BAIR), where I co-authored the Speech World Model accepted to ICLR 2026. I've also interned twice as a Software Development Engineer at Amazon. In my free time, I love playing instruments (piano and sax), reading, and exploring museums.
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Began B.A. in Computer Science and Data Science at UC Berkeley
Developed predictive models for alumni donation likelihood and forecasting at UC Berkeley College of Letters and Science
Facilitate Data 198: Intro to Real World Data Science, teaching the data science lifecycle through hands-on projects
Built financial forecasting models using ARIMA and LSTMs at Universal Health Services
Conducted research at UCSF to optimize seizure detection models for personalized clinical care
Teaching and supporting 1,000+ students through sections, exam prep, and lab authoring in UC Berkeley's flagship data science course
Built a multi-agent pipeline on AWS Bedrock to detect anomalous tax rates in 10M+ invoices/year, preventing $2.27M in overcharges
Co-authored the Speech World Model (accepted to ICLR 2026), a causal-graph framework unifying speech understanding and reasoning
Leading Berkeley's premier data science organization of 100+ members and organizing the 7th Annual Datathon for 500+ participants
Building a finance knowledge service with hybrid OpenSearch retrieval (BM25 + kNN) to scale procedure automation toward thousands of workflows
Joining the course staff for Data 102: Data, Inference, and Decisions at UC Berkeley
