Colin Yang
๐Ÿ‘‹

Hi, I'm Colin. I'm a Computer Science student at UC Irvine and a Software Engineer Intern at Xsolla, working on Go backend services and observability.

Irvine, California | colinyyangcs@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. As a Software Engineer Intern at Xsolla, I build observability tools for Go backend services. Previously, I worked on PostgreSQL data integration and reporting at Lumin Lending.

My projects include an MLB fan app with multilingual support and recommendations, a school transmission-risk dashboard, and DetectiveAI, a Reddit game for identifying AI-generated images.

Research

In Winter and Spring 2027, I will study LLM coding agent delegation with UCI faculty. The study will compare solo and delegated agents on SWE-bench Verified repairs under fixed inference budgets.

Education

University of California, Irvine

Bachelor of Science, Computer Science

๐Ÿ“ Irvine, California ยท Expected Graduation: June 2027 ยท GPA: 3.36

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

Built a React and Flask MLB app with live game schedules, multilingual support through Google Cloud Translation API, and k-means recommendations based on user preferences.

  • React
  • Flask
  • Tailwind
  • Google Cloud
  • Python
  • Machine Learning
  • AI
  • Real-time
  • Full-stack
  • Fan Engagement
  • K-Means
DetectiveAI

DetectiveAI

Built a Devvit-powered Reddit game for Hack Reddit 2025 that challenges users to spot AI-generated images, auto-posts fresh rounds every six hours, stores per-post state and aggregate guesses in Redis, and turns player accuracy into a benchmark for model realism.

  • Devvit
  • TypeScript
  • JavaScript
  • Redis
  • Python
  • Cloudflare R2
  • AI
  • Interactive
  • Benchmarking
  • Scheduled Jobs
Epidemiological Risk Modeling & Visualization

Epidemiological Risk Modeling & Visualization

Built a Python risk-modeling pipeline with pandas, NumPy, and scikit-learn, then deployed a React and Django dashboard on GCP to visualize school transmission risk.

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

Skills

Languages

  • Go
  • Python
  • C
  • C++
  • Java
  • SQL

Backend & Data

  • PostgreSQL (Supabase)
  • Redis
  • REST APIs

Observability

  • Kubernetes
  • Datadog
  • OpenTelemetry
  • Jaeger

Tools & Cloud

  • Git
  • GitLab CI
  • Docker Compose
  • Linux
  • Bash
  • AWS
  • GCP
  • OCI

Web & ML

  • React
  • Flask
  • Django
  • pandas
  • NumPy
  • scikit-learn

My Experience