University of Arizona
B.S. Computer Science and B.S. Statistics and Data Science. Relevant coursework includes Data Structures & Algorithms, Machine Learning, Artificial Intelligence, Probability, and Statistical Inference.
About
I’m pursuing a B.S. in Computer Science and a B.S. in Statistics and Data Science at the University of Arizona, with an expected graduation date of May 2027.
My work sits between applied AI, machine learning, and data systems. I like building end-to-end tools: retrieval and model pipelines, analytics dashboards, APIs, validation loops, and reporting workflows that make messy data usable.
Education
Experience
ResumeUndergraduate Research Assistant, Vision Systems and Intelligence Lab
Working on machine learning for medical imaging research.
Software Engineering Intern, Lifespan Digital Health
Improved burnout-risk prediction by 15%, developed dashboard and workflow features for emPower+, and integrated survey, wearable, and platform data into a unified analytics pipeline.
Applied AI Intern, Alvarez & Marsal
Developed PLTV and conversion models, built an OCR-powered document processing pipeline, and automated reporting for datasets spanning 100k+ customer interactions.
Software Engineer Intern, Deloitte
Cut policy review effort by 50%, automated KPI and risk analytics across 100k+ records per run, and built OptiCode, a multi-step LLM pipeline for code review, compliance checks, and security validation.