Full-stack engineer with hands-on experience in cloud infrastructure, Kubernetes, and big data pipelines.
Focused on agent harness engineering — the infrastructure layer around LLM applications that determines whether AI systems actually work in production: context, tools, orchestration, and reliability.
An advocate for AI adoption inside organizations — exploring best practices and helping engineering teams build with AI effectively.
Contributing to open source out of genuine interest, mostly at the intersection of big data and AI agent infrastructure.
