I'm a passionate software engineer building scalable applications and exploring the intersection of AI and practical software solutions. Currently pursuing my BS in Computer Science while working part-time as a Jr. AI Research Analyst at Furnitureland South, where I research emerging AI technologies and transform complex findings into actionable business insights.

• 🔭 Building SofaScope - AI-powered furniture search platform using CLIP + FAISS for visual similarity matching, deployed with Docker microservices (95% performance improvement). Developed during my role at Furnitureland South to transform how customers discover products
• 🤖 Researching emerging AI technologies and evaluating AI models to drive business strategy
• 📚 Studying Software Development Lifecycle, Computer Systems, and Advanced Algorithms
• 🌱 Exploring machine learning, LangGraph, and cloud deployment strategies
• 🎯 Seeking internship opportunities for Summer 2026

Jr. AI Research Analyst @ Furnitureland South (Aug 2025 - Present)
Researching AI technologies, evaluating models, and analyzing competitive trends. Currently developing SofaScope, an AI-powered furniture search platform that uses computer vision (CLIP) and vector search (FAISS) to enable visual product discovery. Architected Docker-based microservices deployment that reduced search latency from 15 seconds to 500ms.

IT Intern @ Furnitureland South (May 2025 - Aug 2025)
Supported technical infrastructure and gained hands-on experience with enterprise systems

Languages: Java • Python • JavaScript • C • C++ • SQL • HTML5 • CSS3
Frontend: React • Next.js • Tailwind CSS • Bootstrap
Backend: Node.js • Express • Spring Framework
Databases: PostgreSQL • MySQL • MongoDB • SQLite • Oracle
Tools & Cloud: Git • Jira • AWS • Zendesk • Bash
Data & AI: Pandas • Seaborn • LangGraph • Machine Learning

University of North Carolina at Charlotte
Bachelor of Science in Computer Science (Expected Dec 2026)

Check out my portfolio website to see all my projects, including:

• SofaScope - AI-powered furniture search platform built at Furnitureland South. Features Next.js frontend with FastAPI backend, CLIP embeddings for visual search, FAISS vector database, and containerized microservices architecture. Achieved 95% reduction in search latency through architectural optimization.
• Colmar Academy Website - Responsive educational platform with modern UI/UX

• 📧 Email: [email protected]
• 💼 LinkedIn: cameron-warren
• 🌐 Portfolio: cwarre33.github.io/portfolio
• 📄 Resume: View My Resume

When I'm not coding, you'll find me outdoors rock climbing, hiking, or trail running around North Carolina!

Open to internship opportunities and collaborative projects!