Key accomplishments
In my current role as a Machine Learning Engineer Intern at LearnPack (an Ed-tech startup) I have the following accomplishments:
•Developed and deployed a distilbert-base-multilingual-cased model with a 94% accuracy rate to automatically categorize over 23,000 customer reviews, significantly streamlining content generation for SEO.
•Engineered an end to end data pipeline utilizing Python, Pandas, and Selenium for web scraping, data preprocessing, and validation, ensuring a high quality dataset for model training.
•Collaborated cross-functionally with the web development team to integrate the categorized review data, directly contributing to a company wide initiative to improve organic search rankings.
•Designed and implemented an A/B testing framework to evaluate the impact of new AI driven features on user engagement and learning speed.
•Automated data analysis pipelines using Prefect to monitor validate, and improve the efficiency and reliability of data reporting insights.
Education
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August 3 2015 - June 30 2017
University of California Los Angeles (UCLA)
Bachelor of Arts (BA)
I graduated UCLA with a BA in Economics.
Experience
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July 1 2025 - Present
LearnPack
Machine Learning Engineer Intern
Portfolio
Languages
Honors & awards
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2023
Volunteer of the Year
Through my volunteer work at the D St. Shelter in which I provided free notary services to unhoused individuals, the shelter was able to obtain critical documents such as birth certificates for an estimated 72 people over the past year. These documents are required to move forward in placing unhoused individuals into stable housing. It has been a pleasure serving my community in this way.