I’m a builder at heart, and bringing great ideas to life is my passion.

I build systems that help teams understand what’s happening, predict what’s coming next, and act on it reliably.

Over the past 10+ years, I’ve worked across cloud engineering, AI, machine learning, and distributed systems. Most of my work has been in operationally complex environments where the cost of getting things wrong is high: AWS datacenter logistics, airline network operations, and financial research automation.

I’ve built CQRS systems for datacenter asset management, real-time fleet and crew operations tools for a major U.S. airline, and ML pipelines that forecast time-critical operational events at scale.

More recently, I’ve been building AI systems that connect business intent to execution. At Veritas Alpha, that meant RAG-powered financial analyst tooling using LangChain and LangGraph. In my own work, it has meant building multi-agent coding workflows that take a product idea, reason through the implementation, and turn it into code commits.

My work spans full-stack development, MLOps, serverless and event-driven architecture, large-scale data processing, CQRS, RAG systems, and workflow design. I mostly work in AWS, Node.js, React, TensorFlow, and modern LLM orchestration tools.

I’m at my best when the domain is messy, the idea is ambitious, and the path from 0 to 1 needs both technical depth and product judgment.