I’m a data professional with over ten years of practical experience working across data science, engineering, and analytics. My background spans machine learning, statistical modeling, and cloud-based data pipelines, and I’ve consistently focused on building solutions that solve real business problems.

At Unisys Logistics, I led the development of a smart logistics platform that automated key parts of shipment planning and customs documentation. I worked closely with engineers and DevOps to deploy this system, drawing on tools like LangChain, FAISS, sentence transformers, and open-source LLMs.

Before that, I was part of the data team at EasyJet, where I worked on migrating data from on-premise systems to AWS and Databricks. My role involved building and optimizing new pipelines and helping the company modernize its data infrastructure.

I’ve always had a hands-on approach—whether it’s analyzing large datasets, designing machine learning workflows, or collaborating with product teams to shape better tools. I’m currently developing frameworks that help businesses integrate intelligent agents into their operations, with a focus on automation and decision-making at scale.