From Mobile Architecture to Intelligent Agents
With over 10 years of experience in software architecture and a PhD in Computer Engineering, I specialize in building scalable, production-grade AI systems.
While my roots are in enterprise mobile development (building apps for millions of users in FinTech), my focus has evolved to Agentic AI. I don't just train models; I build the complex engineering infrastructure required to deploy them—orchestrating multi-agent workflows in the cloud and optimizing inference on the edge.
I am currently focused on solving the "last mile" problem in AI: making autonomous agents fast, reliable, and privacy-compliant on consumer devices.
Featured Projects
Core Tech Stack
- Agentic AI: LangGraph, CrewAI, OpenAI API, RAG Pipelines
- Edge ML: Google Gemini Nano, TensorFlow Lite, MediaPipe, Quantization
- Engineering: Python (FastAPI), Kotlin (Android), System Design, CI/CD (GitHub Actions)
Engineering Beyond the Code
My approach to problem-solving extends into the physical world. I am an avid woodworker, a discipline that I treat as tangible system architecture.
Woodworking requires the same rigorous planning, critical thinking, and tolerance for constraints as high-performance software. It forces me to solve complex structural problems without an "Undo" button. Whether I am refactoring a legacy codebase or milling lumber for a custom joinery project, the mindset is identical: measure twice, execute with precision, and build for longevity.