Recent graduate from UCLA with a B.S. in Cognitive Science & Computing and a minor in Data Science Engineering. Skilled progammer with interests in machine learning, databases, and large-scale data processing. Check out my most recent project, menunomics.
Developed and deployed data processing and NLP solutions, LLM agents, and machine learning pipelines to extract, classify, and restructure menu data for 65,000+ items across 1000+ restaurants. Working with 2 others to build a national database of restaurant items and prices!
Resolved hardware/software issues for UCLA employees, managed account deactivations and hardware returns, and updated technical documentation to streamline onboarding and improve team efficiency.
Supported data collection and validation processes, ensuring high-quality training data for model improvement using internal developer tools.
Co-authored a report on COVID-19's impact on UCLA research funding, created interactive visualizations, and consolidated diverse funding data into a unified dataset.
Automated data cleaning for psychometric analysis, organized research data for publication, and edited papers for APA compliance in career decision-making research for Psychologist Itamar Gati.
Cleaned and analyzed national survey data, led data visualization to unserstand respondent demographics, and developed a logistic regression model to predict overdoses.
Coursework: Machine Learning, Data Science, Laboratory: Theory and Simulation, Probability, Statistics, Advanced Programming (C++)
Apart from being a programmer, I enjoy most of my time playing hockey, cooking, going to the gym, and mastering Catan.
Currently, I spend a large amount of my free time developling a web-crawler to parse online restaurant menu data.
