I’m an AI & Data Engineer focused on creating value from data — from clean pipelines and dependable architecture to AI-powered products that people can trust.
My work sits at the intersection of data engineering, machine learning, and product thinking: I build systems that ingest, transform, and operationalize information in ways that are scalable, explainable, and ready for real-world use.
I enjoy turning messy signals into meaningful decisions — whether that means designing data workflows, deploying ML models, or building interfaces that make complex systems understandable and useful.
Outside of work, I like exploring emerging AI tools, learning from the latest data practices, and connecting technical systems with the business impact behind them.