I have spent the last 15+ years working across diverse industries including Finance, Telecoms, and Sports Analytics. My expertise lies in delivering actionable insight using data solutions on both Google Cloud Platform and Amazon Web Services.
Most of my work centers on three key areas:
- Agentic AI Systems: I move beyond simple “chat” interfaces to build Intelligent Systems with agentic flow. I design architectures where LLMs can reason, plan, and autonomously execute complex multi-step workflows to solve business problems.
- ML Pipelines: I am passionate about building pipelines that are scalable, maintainable, and adaptable over time—taking models from a notebook experiment to a production-grade system.
- Data Foundations: ML needs data. I often work with customers on Data Lake or Warehouse projects to build the scalable, data-intensive plumbing required to feed these intelligent systems.
