At London Stock Exchange Group, I build LLM-driven systems for financial documents, including a multi-agent routing system that reduced aggregate Data Center Costs by 35%. I’ve also developed tools for M&A document classification, industry tagging, and automated data validation.
At Beckman Coulter Diagnostics, I worked on hematology and urinalysis medical-imaging projects, developing image-processing and machine-learning pipelines for clinical data. I also built forecasting pipelines and a field-force optimization engine to align technician capacity with predicted service demand.
My work spans Python, PyTorch, SQL, and Azure, alongside tools such as Databricks, MLflow, and Power BI. I was part of the LSEG 2025 Hackathon-winning project and received recognition for the Entity Master project and process innovation.

