Hello World, I'm Reiley Meeks

• Architected and deployed RAG-based LLM pipeline using MongoDB, Azure Document Intelligence, and Azure OpenAI, increasing service technician productivity and reducing equipment service time.
• Led research and implementation of local Large Language Model deployments (GPT OSS, Qwen 3).
• Own all AI initiatives across the company including development, planning, architecture, and cloud infrastructure for machine learning systems.
• Developed full-stack AI features using Python, JavaScript, and React, integrating Azure OpenAI and custom fine-tuned models to deliver predictive insights to enterprise customers.

• Built and scaled Amiqo's mobile application using React Native, delivering seamless cross-platform performance.
• Led application architecture refinement, implementing modular component design that reduced technical debt by 30% and improved feature velocity by 50%.
• Optimized app performance through code profiling and lazy loading strategies, reducing initial load time by 65% and memory usage by 40%.

• Defined and implemented full technical stack (Next.js, Swift Vapor, MongoDB, Firebase) to support AI-powered home data platform.
• Architected and deployed containerized Swift Vapor backend with RESTful APIs, achieving 99.9% uptime and <100ms average response time.
• Engineered secure authentication system using Firebase Auth integrated with MongoDB, supporting multi-tenant architecture and role-based access control.
• Integrated AI capabilities for intelligent data processing and analysis, leveraging natural language interfaces and automated insights generation.

• Built and deployed 8+ production full-stack applications using Next.js, MongoDB, and Azure serverless functions, serving 1,000+ internal users across global operations.
• Led design and implementation of modular UI framework for LLM-powered applications using Next.js and Azure OpenAI API, reducing development time for new AI features by 60%.
• Automated CI/CD pipelines using GitHub Actions, reducing deployment time and decreasing production incidents through automated testing.

• Delivered custom full-stack web applications for clients using Next.js, TypeScript, and RESTful APIs, with 100% on-time project completion rate.
• Engineered iOS applications using SwiftUI and SwiftData with offline-first architecture, iCloud sync, and cloud database integration.
• Provided technical consulting on cloud architecture, API design, and mobile app modernization strategies for small and medium-sized businesses.

Masters of Artificial Intelligence

University of Texas at Austin | May 2027

BS, Computer Science

University of North Carolina at Charlotte | May 2023

Concentration: AI, Robotics, and Gaming | Honors: Cum Laude