I’m a machine learning and engineering leader with over 11 years of experience building production machine learning applications, combining technical expertise with a focus on fostering innovation, best practices, and mentoring engineers at all levels. I have a proven track record in finance and defence from startups to large companies, delivering impactful solutions in complex, high-stakes environments.
Currently leading multiple cross-functional teams at ExTrac, driving the development of a high-volume analytics platform that processes over 100 million data points annually. Overseeing end-to-end development, infrastructure, and machine learning model deployment, with a strong emphasis on MLOps and agile methodologies. Acting as a key interface with leadership, translating strategic visions into actionable roadmaps while cultivating a high-performing, growth-focused engineering culture.
Experience:
Engineering Manager - Machine Learning • Domestic & General June 2024 - Present
Decision Science Manager • Domestic & General April 2023 - June 2024
Senior Data Science Manager • Zego April 2022 - April 2023
Data Science Manager • Financial Conduct Authority February 2020 ‑ April 2022
Senior Data Scientist • Financial Conduct Authority August 2018 ‑ February 2020
Senior Data Scientist • BAE Systems Applied Intelligence August 2015 ‑ August 2018
Data Scientist • Ministry of Defence (MOD) September 2013 ‑ August 2015
Key Technologies:
Productivity: Notion • Slack • Figma • Azure DevOps • Miro • draw.io • Excalidraw • Jira • Confluence
Programming: Python (Pandas, Scikit‐learn, PyTorch, TensorFlow, Streamlit, Pydantic, Huggingface, llamaindex, langchain) • Go • SQL
AWS: EC2 • SageMaker • S3 • RDS • Athena • EMR • ELB • Elasticsearch Service • Bedrock
Azure: Open AI Service • Azure Machine Learning
Other: Git • Docker • Kubernetes • Terraform • MLFlow • Kafka • DVC • OpenAI (GPT4o, GPT4o‐mini) • Qdrant • Pinecone