Resume

Master's of Science, Computer Science

University of Southern California · GPA: 4.0 · Expected Graduation 2027

Relevant Coursework: Analysis of Algorithms, Machine Learning, Natural Language Processing

Bachelor of Science, Statistics and Data Science

University of California, Santa Barbara · GPA: 3.95 · Graduated 2025 Magna Cum Laude & Phi Beta Kappa

Relevant Coursework: Adversarial Robustness in ML, Statistical Machine Learning, Design of Experiments, Big Data Science

Apple Inc.

Machine Learning Intern · June 2025 - August 2025

• Designed and implemented an audio deduplication pipeline for 100M+ internet-crawled records, achieving 99.98% precision and 99.97% recall.
• Contributed to higher-performing AI models used in Apple products by improving the quality and reliability of foundational training data.
• Established tailored criteria for audio deduplication across exact repeats, snippets, and acoustic variations, aligning with needs of various research and engineering teams.
• Facilitated collaboration with internal teams to adapt existing technology for deduplication use cases.

UC Santa Barbara, Qin Lab, REAL AI Initiative

Research Assistant· March 2024 - June 2025

• Experimented with fine-tuning strategies to improve the safety performance of LLaVA, an open-source LLM.
• Introduced an adversarial framework to LLaVA using PyTorch to refine image-to-text token projection.
• Benchmarked fine-tuned models on MMSafety Bench, VLMEval, and VLGuard datasets.
• Presented project updates and performance metrics to the principal investigator in weekly lab meetings.

UC Santa Barbara, Moeller Lab

Research Assistant· September 2022 - June 2023

• Fitted nonlinear models to estimate growth, grazing, and ingestion rates of 30+ ciliate predators using R.
• Built a structured database cataloging 130 predator–prey model fits and parameter estimates.
• Benchmarked fine-tuned models on MMSafety Bench, VLMEval, and VLGuard datasets.
• Extracted and cleaned biological data from 1–3 academic papers weekly.