About Me
I'm Ty Tracey, a Senior Software Engineer with over 12 years of experience making an intentional pivot into AI/ML. My expertise spans distributed systems, developer tooling, and performance optimization, now focused on building AI-powered productivity tools and engineering workflows.
What I Do Now
Building AI-powered developer tools and productivity solutions. I specialize in applying machine learning to engineering workflows, creating intelligent systems that enhance developer experience, and exploring how AI can fundamentally transform software development.
My unique background in distributed systems, performance optimization, and high-scale infrastructure gives me a systems-first approach to ML/AI implementation, focusing on practical, production-ready solutions.
Technical Expertise
Core Systems: Python, Rust, JavaScript/TypeScript, distributed systems, cloud infrastructure, and performance optimization. 12+ years building scalable software from streaming platforms to developer tooling.
AI/ML Focus: PyTorch, transformer architectures, deep learning fundamentals, MLOps, and production ML systems. Bridging the gap between traditional software engineering and modern AI/ML practices.
Background & Mission
Computer Science at University of North Florida with early focus on AI, systems, and data structures. 12+ years at companies like Meta, building developer tools and distributed systems that serve millions.
Current Mission: Leveraging deep systems expertise to build the next generation of AI-powered productivity tools and engineering workflows that fundamentally change how developers work.
Creative Projects
Creator of FourthsHub, a comprehensive guitar theory platform, and custom 3D configurator for Tosin Abasi (Animals as Leaders). These projects demonstrate my approach to combining technical depth with creative problem-solving.
I share my learning journey through writing and open source contributions, believing that teaching others solidifies understanding and builds community. Currently documenting my AI/ML transition and productivity insights.