Open to opportunities

Hi, I'm Phu
Software Engineer
& AI Researcher

Building intelligent systems that matter. Currently at CodeDay, previously researching AI applications in medical imaging at CSULB.

3+
Years Experience
10+
Projects Built
2
Hackathon Wins
Thien Phu Quach
Phu at CSULB

Passionate about building impactful technology

I'm a Computer Science student at California State University Long Beach, where I serve as Vice President of ACM, Beach Hack Director and lead the Google Software Engineering Fellows program. My journey in tech is driven by a desire to create solutions that make a real difference.

From developing assistive technology for users with disabilities to building AI systems that improve medical diagnostics, I'm constantly exploring the intersection of software engineering and artificial intelligence.

Location Long Beach, CA
University CSULB
Focus AI & ML
Graduation May 2027

Technologies I work with

💻

Languages

Python C++ JavaScript TypeScript SQL Go Swift R
🧠

AI & Machine Learning

PyTorch TensorFlow LangChain RAG Systems Computer Vision NLP
🚀

Frameworks & Tools

React Next.js Node.js Flask Docker Kubernetes
☁️

Cloud & Databases

AWS Azure GCP PostgreSQL Neo4j Pinecone

Where I've worked

Incoming AI Engineer Intern

VOS Advisory

May 2026 – Aug 2026

Software Engineer Intern

CodeDay

Jun 2025 – Present
  • Developed custom website front-end using Next.js, React, and TypeScript, resulting in 20% increase in user engagement
  • Built scalable Node.js application using SSR to manage high-traffic sessions for 100+ concurrent users

Software Engineer Fellow

Google

July 2025 – December 2025
  • Led cross-functional team of 50+ software engineering fellows through IT automation and project management curriculum, achieving 95% program completion rate by implementing structured mentorship frameworks and weekly progress tracking systems
  • Delivered 12+ automation projects spanning infrastructure deployment, CI/CD pipeline optimization, and workflow automation, resulting in 40% reduction in manual processes across fellow teams by establishing best practices and code review protocols

Research Intern

ThinkNeuro

May 2025 – Aug 2025
  • Researched and developed technologies for Brain-Computer Interfaces (BCIs) and neuroprosthetics
  • Implemented R programming and bibliometric analysis, increasing data processing efficiency by 90%

Machine Learning Researcher

CSULB College of Engineering

Jul 2024 – Present
  • Implemented AI applications in radiology, reducing manual review time by 50%
  • Developed CNN-based computer vision model for foot X-ray analysis, improving diagnostic accuracy by 80%

Featured work

Leadership & Recognition

Academic background

🎓

Bachelor of Science in Computer Science

California State University Long Beach

Anticipated Graduation: May 2027

  • President's Honor List (2022-2023), Dean's List (2024-2025)
  • Computer Science Honor Student
  • Relevant Coursework: Data Structures & Algorithms, OOP, Software Engineering, Machine Learning, Deep Learning

Let's build something
amazing together

I'm always open to discussing new opportunities, collaborations, or just having a chat about tech.