Colin Yang
๐Ÿ‘‹

Hi, I'm Colin. I'm a Computer Science student at UC Irvine building full-stack products, data systems, and cloud-backed tools.

Irvine, California | yangcolin.y@gmail.com |www.colinyang.dev |github.com/collollin

About Me

I'm a Computer Science student at UC Irvine and a Campuswide Honors Collegium member who likes building practical software where product, data, and infrastructure meet. Recently, I worked at Lumin Lending on CRM and mortgage-platform integrations, using Supabase PostgreSQL and SQL reporting workflows to keep lead and loan data consistent across operations.

Outside of internships, I've built a Google Cloud x MLB Hackathon app with React, Flask, Tailwind CSS, translation support, and k-means recommendations, plus a COVID-19 risk modeling dashboard using Python, scikit-learn, React, Django, and GCP. I'm especially interested in full-stack tools that make messy data easier to understand and act on.

Education

University of California, Irvine

Bachelor of Science, Computer Science

๐Ÿ“ Irvine, California ยท Expected Graduation: June 2027 ยท GPA: 3.57

Honors:

  • Member of the Campuswide Honors Collegium

Courses:

  • Discrete Mathematics
  • Boolean Logic and Discrete Structures
  • Programming in C/C++ as a Second Language
  • Data Structure Implementation and Analysis
  • Introduction to Data Management
  • Introduction to Software Engineering
  • Introduction to Probability and Statistics for CS

My Projects

Google Cloud x MLB Hackathon

Google Cloud x MLB Hackathon

Developed a full-stack MLB fan application using React, Flask, and Tailwind CSS with real-time game schedules, multilingual support through Google Cloud Translation API, dark mode customization, and k-means recommendations for teams and players.

  • React
  • Flask
  • Tailwind
  • Google Cloud
  • Python
  • Machine Learning
  • AI
  • Real-time
  • Full-stack
  • Fan Engagement
  • K-Means
Epidemiological Risk Modeling & Visualization

Epidemiological Risk Modeling & Visualization

Engineered a predictive Python pipeline with pandas, NumPy, and scikit-learn to estimate COVID transmission risk in schools, then deployed a React, Django, and GCP dashboard to visualize risk indicators for district-level decision-making.

  • React
  • Django
  • Google Cloud
  • Flask
  • Python
  • Data Visualization
  • Dashboard
  • Simulation
  • COVID-19
  • Interactive
  • Data Analysis

Skills

Languages

  • Python (Pandas, NumPy, Flask)
  • C
  • C++
  • Java
  • SQL

Databases

  • PostgreSQL (Supabase)

Cloud Platforms

  • AWS
  • Oracle
  • Google Cloud

Tools & Technologies

  • Git
  • Bash
  • IntelliJ/PyCharm
  • JSON
  • REST APIs
  • PowerShell
  • Microsoft Office Suite
  • Linux

My Experience