Hi, I'm Cyrus Liu

About Me

As a computer science student and software developer, I'm driven to create impactful technology solutions that enhance user experiences. My foundation in software engineering, paired with a passion for continuous learning, motivates me to tackle new challenges and innovate in a constantly evolving tech landscape.

I specialize in Full Stack Development, AI & Machine Learning, and algorithm optimization, and I'm always eager to collaborate and contribute to projects that push the boundaries of technology.

Outside the tech world, you'll find me exploring new music, staying active, and enjoying quality time with friends and family. I thrive in dynamic environments and am always enthusiastic about opportunities to learn and make a meaningful impact!

Education

University of California, Irvine

B.S. Computer Science | Sep 2021 – Jun 2025

Dean's Honor List: 12× (all quarters)

Specialization: Intelligent Systems – Artificial Intelligence & Machine Learning

Relevant Coursework:

Data Structures and Algorithms
SQL / Database Management
Information Retrieval
Artificial Intelligence
Machine Learning & Data Mining
Computer Organization & Architecture

Projects

Replayify

Replayify is a full‑stack Spotify analytics web app built with React and Express. It features OAuth2 via Spotify's authorization code flow for fetching users’ top tracks, a dark, responsive UI crafted with Chakra UI (including an interactive slider and sleek track cards), and CI/CD deployment using Vercel and Render to integrate frontend, backend, and cross‑origin flows seamlessly.

React.jsNode.jsExpress.jsREST APIsChakra UIVercelRender

ASL Recognition

Developed a convolutional neural network using TensorFlow and OpenCV to recognize American Sign Language fingerspelling, achieving 99.2% test accuracy. Applied data augmentation techniques like shearing, flipping, and zooming to improve generalization and gain an additional 2% in validation accuracy.

PythonTensorFlowOpenCVCNN

Wellness & Habit Builder

Built a responsive wellness and habit‑tracking web app with HTML, CSS, and JavaScript, featuring goal setting, habit tracking, and journal entries. Implemented user authentication and localStorage‑based persistence for personalized profiles, along with live clock/calendar displays, mood‑tagged journaling, search filters, and browser reminder notifications.

HTMLCSSJavaScriptLocalStorageWeb Notifications

UCI Search Engine

Led the development of a Python‑based search engine for indexing tens of thousands of documents using tf‑idf and NLP techniques. Optimized performance with an inverted index, precomputed norms for Cosine Similarity, and efficient memory handling using partial indexes and CSV‑based URL mapping, achieving sub‑300ms query response times.

PythonNLPtf‑idfInverted IndexCosine Similarity