# Amy Xu > CS & CogSci @ UC Berkeley | Prev @ Apple, Pinterest Location: San Diego, California, United States Profile: https://flows.cv/amyxu Hello! I am a student at UC Berkeley studying Computer Science and Cognitive Science. I am interested in anything at the intersection between people and technology. ## Work Experience ### Head Teaching Assistant for CS 61A (The Structure and Interpretation of Computer Programs) @ University of California, Berkeley Jan 2023 – Present | Berkeley, California, United States Taught students Python data structures and algorithms, SQL tables and aggregation, and RegEx for CS 61A: Structure and Interpretation of Computer Programs, the largest computer science course at UC Berkeley Resolved 100+ student extensions via a Python program integrated with Google Sheets, Slack, and Gradescope ### Software Engineer Intern @ Pinterest Jan 2025 – Jan 2025 | San Francisco Bay Area Experimentation Platform ### Software Engineer Intern @ Apple Jan 2025 – Jan 2025 Core Bluetooth ### Software Engineer Intern @ Pinterest Jan 2024 – Jan 2024 | Palo Alto, California, United States Developed a full stack project enabling no-code A/B experimentation preventing +100 commits per month and a significant increase in metric accessibility Designed and implemented a new user flow using React TypeScript, wrote cron scripts to consistently sync platform data from MySQL and reworked 7 Apache Airflow workflows which are run multiple times daily Built a conversational artificial intelligence model into the experimentation platform to aid in experiment creation ### Machine Learning Researcher @ University of California, Berkeley, Haas School of Business Jan 2023 – Jan 2024 | Berkeley, California, United States Developed Python multimodal transformer models to leverage patient data (> 10 million points) to predict placed orders Created a surrogate model based on k-means clustering to determine diagnosis similarities from patient covariates Wrote shell scripts for the UCSF Wynton HPC cluster to parse data, run models, generate 1,000+ visualizations ### Technical Product Manager @ MDB Jan 2022 – Jan 2024 Developed multiple apps through an 8-week React Native training program. Ideated, designed, developed, and presented an app at Tech Fair, a university-wide competition. Built apps for non-profit organizations and start-ups as a part of the Contract Team. Created contracts, met with clients and developed milestone planning for three projects with non-profits ### Software Engineering Intern @ Mon Ami Jan 2023 – Jan 2023 | San Francisco Bay Area Built, tested, and managed a provider portal person bulk uploader using Ruby on Rails and RSpec, currently used by the Tennessee Commission on Aging and Disability to turn CSV employee data into organization-specific user accounts Created and documented a public-facing RESTful API for fetching service records based on multiple attributes using an MVC framework Significantly reduced customer service labor through more advanced input validation and human readable error messages through dry-rb ### Product Designer @ Green String Network Jan 2023 – Jan 2023 Conducted 10+ user interviews, ideated, designed wireframes, wrote documentation, and used Figma to prototype a community discovery feature for a virtual peer support network operating through multiple locations across Africa Collaborated to prepare style guides, visuals, and mockups for the 2023 MIT Solve Pitch, placing top ten in the finalists ### 2022 Cohort @ CS Kickstart @ CS Kickstart Jan 2022 – Jan 2023 | Berkeley, California, United States Accepted into a cohort of 95 students to connect with industry professionals and learn technical skills in Python and HTML ### Strategy and Operations Intern @ SXD (Shelly Xu Design) Jan 2022 – Jan 2022 | New York, New York, United States Expedited communications 2x by implementing company-wide email migration Strategized website redesign for R/GA Make/Good Program Crafted product and strategy presentations with the CEO to receive acceptance into Stanford’s Lawyers for a Sustainable Economy and Venture 4 ClimateTech (1% acceptance rate) ### Student Researcher @ San Diego Supercomputer Center Jan 2019 – Jan 2022 | University of California, San Diego, United States Published the paper Alzheimer’s disease diagnostics using miRNA biomarkers and machine learning as first author in the Journal of Alzheimer's Disease (top 12% journal based on impact factor) Collaborated with top neurodegeneration professors Professor Valentina Kouznetsova and Professor Igor Tsigelny from the UCSD Supercomputer Center ### Product Marketing Associate @ Trill Project Jan 2020 – Jan 2021 | Harvard Innovation Labs Proposed, created UI/UX mock-ups, and led the creation of a new mental health app feature called Therapist’s Corner, connecting 80,000+ users across 50+ countries with free advice from licensed therapists ### Strategy and Research Intern @ Transcera Jan 2021 – Jan 2021 | Harvard Innovation Labs As the first intern at Transcera, I curated a catalog of 100+ FDA approved therapeutic peptides, prioritized rare disease targets, and identified potential partnerships with a pharmaceutical company to improve future treatment for 100,000+ genetically obese children ## Education ### Bachelor of Arts - BA in Computer Science, Cognitive Science University of California, Berkeley Jan 2022 ### Canyon Crest Academy Jan 2018 – Jan 2022 ## Contact & Social - LinkedIn: https://linkedin.com/in/amyxu08 --- Source: https://flows.cv/amyxu JSON Resume: https://flows.cv/amyxu/resume.json Last updated: 2026-03-29