Building practical AI systems and writing about data, agents, governance, and responsible innovation.
About
I am a Data Scientist and AI Engineer focused on building practical systems that connect machine learning, data engineering, agentic workflows, and responsible AI.
My work includes developing predictive models, data pipelines, decision-support tools, and AI agents designed for real world use. I am particularly interested in how AI systems reason, retrieve information, use tools, manage risk, and operate reliably within complex environments.
Alongside technical development, I contribute to AI governance work examining how responsible AI principles can be translated into practical policies, controls, and implementation strategies.
On this blog, I write about AI engineering, data science, agentic systems, AI governance, responsible innovation, and lessons from the systems I build and research.