I am an AI and data architect specializing in multi-agent AI systems for epigenetic and molecular medicine. My current work centers on developing collaborative AI health platforms that integrate real-time biomarker, molecular, and lifestyle data to deliver personalized, science-based health recommendations. Building on my experience with Microsoft Azure, Databricks, Snowflake, and frameworks like Microsoft CoPilot, n8n and Dust, Windsurf, GitHub, Lovable I design secure, compliant data architectures-implementing Zero Trust and robust digital identity across healthcare, supply chain, and sustainability sectors.

The Pop in your Job:
I am passionate about transforming healthcare and life sciences through innovative AI solutions. Let’s connect to explore how multi-agent AI and Model Context Protocol can advance personalized medicine for everyone.