I'm a software engineer who builds AI products that people actually trust and use. My work centers on large language models and Python, and I take ideas from first prototype to production: retrieval-augmented generation (RAG) systems, LLM-powered APIs, and the React interfaces that make them simple to use. I'm at my best turning messy, real-world problems into reliable systems. That has meant designing prompts and retrieval pipelines that give grounded answers, building secure APIs around them, and deploying on GCP, Kubernetes, and OpenShift with the logging, access controls, and guardrails that enterprise teams expect. I have 14 years of experience across banking, insurance, and healthcare, and that background shapes how I build. I think about data quality, security, and what happens after launch, so the AI features I ship are dependable, explainable, and easy to operate. I enjoy mentoring engineers, simplifying complicated ideas, and turning fast-moving AI technology into software that holds up in production.
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