Cambridge, United Kingdom

I design and operate the data systems behind research that matters.

I am a data professional at the University of Cambridge. I work on high performance computing clusters managing some of the most sensitive medical datasets in the country. My standard for good work is simple. It runs reliably every time, someone else can understand and maintain it, and it serves the people behind the data.

I have delivered eighty two governed research projects across ten disease areas . I manage secure genomic data pipelines, encrypted transfers, and algorithms that replace months of manual clinical reading with dependable outputs.

Working at this scale fundamentally changes the nature of the job. Definitions, provenance, and repeatability transition from best practices to absolute structural requirements.

Before joining Cambridge, I built machine learning systems in demanding commercial environments. I reduced demand forecasting errors by fifty percent across more than 600000 product lines , delivering 700000 GBP in verified annual savings .

I also built computer vision pipelines that extracted structured data from handwritten financial documents at 96 percent accuracy . These were not notebook demonstrations. They ran in production under real operational pressure, and they were maintained by other people after I built them. That is the real test.

"The pipeline runs or it does not. The data is correct or it is not. If it cannot be audited by the person who inherits it, the work is simply not finished."
HPC Scale
56K+
Research participants handled where provenance and access control are structural requirements .
Delivery
82
Governed analytical projects shipped across ten disease areas, each auditable and handed over cleanly .
Secure Transfer
777GB
Encrypted data deliveries with audit trails, integrity checks, and access controls by design .
Commercial Scale
600K+
Product time series processed through production forecasting pipelines with verified financial savings .
Python
SQL
High Performance Computing
Docker
Kubernetes
Terraform
Airflow
PyTorch
LightGBM
AWS
Python
SQL
High Performance Computing
Docker
Kubernetes
Terraform
Airflow
PyTorch
LightGBM
AWS

I moved to the United Kingdom in 2010 and made it my home. I hold a Master of Science in Data Science from Loughborough University and have studied at Kings College London and Durham University.

My career began in a completely different field, marketing, which revealed a vital truth. Data, handled with genuine engineering discipline, shows how organisations and people actually behave.

I am guided, professionally and personally, by a belief in a World Nation. This is the conviction that our shared humanity matters more than borders, languages, or passports.

It shapes how I treat people on my team, how I approach collaboration, and what I consider a worthwhile outcome.

01.

Father of four

The most demanding and important role I will ever hold. It provides a daily masterclass in patience, perspective, and focusing on what truly matters when the screen goes dark.

02.

Number 10 on the pitch

I play football the way Zinedine Zidane did. I look for the pass that creates the space for the whole team to win. That instinct runs directly through my professional work.

03.

Maker and fixer

I am a lifelong DIY enthusiast. In a profession built entirely on digital abstraction, there is a deeply grounding honesty in building something physical with your hands and checking whether it holds weight.

04.

Cinema and dialogue

Films that stay with you for days. Honest conversation about the human condition. Technology is only as meaningful as the people it ultimately serves.