Hello, I'm Samantha An
Computer Engineering student at UC Santa Cruz building APIs, data tools, and AI-powered applications
Technical Skills
The languages, frameworks, and concepts I've used across internships and projects.
Frameworks & Libraries
APIs & Data
Tools & Platforms
Concepts
Certifications & Honors
Experience & Education
Where I've interned and studied so far.
API Developer / Data Analyst Intern
Magnakom
Built a Python app that matches SellerCloud orders to WholeCell records across integrated REST APIs using hash-map lookups, cutting per-order lookup time from 2–3 minutes to seconds (~90%) across 50+ batches and ~19,000 records. Also shipped a Chrome extension that exports product listings straight to Google Sheets, reducing per-product collection time from hours to minutes (~92%).
Intern
UCSC Korean American Student Association (KASA)
Coordinated scheduling, logistics, and staffing with fellow interns to deliver a 250+ person campus event on time across every scheduled session.
B.S. Computer Engineering
University of California, Santa Cruz
Dean's Honor List, Fall 2025 – Spring 2026. Previously completed Object-Oriented Programming in C++ at Los Angeles City College while in highschool.
Featured Projects
Things I've built end to end. Code for all of these lives on my GitHub.
AlphaTest
A trade backtesting app with a Python/FastAPI engine covering 7 rule-based strategies (MA crossover,
MACD, RSI, Bollinger Bands, and more). A strategy registry auto-generates each UI form, showing visual results of the backtest.
Note: I am using a free rendering service for this demo, so the first load may take a few seconds.
Writing Buddy
An AI writing agent that matches your personal style. A Chrome extension talks to a Python/FastAPI backend running an end-to-end RAG pipeline — chunking, Gemini API embeddings, and FAISS indexing — to condition LLM output on your own writing samples. A pre-launch security audit replaced a shared global API client with a per-request architecture, closing a cross-user data leak.
Product Grabber
A Chrome extension + FastAPI backend that turns product pages into structured data across three storefronts. A layered extraction pipeline, then CSS selectors — recovers title, price, images, and item IDs even as page structure shifts, while a multi-stage regex pipeline classifies condition and grade across inconsistent listing formats. Results auto-export to Google Sheets, cutting manual lookup from minutes to seconds.
Let's Connect
I'd be super happy to chat with you!
an.samantha2007@gmail.com
linkedin.com/in/ansamantha
GitHub
github.com/samiam621
Location
Santa Cruz & Los Angeles, CA


