Experience

Part of the Joule Direct team responsible for managing venue connectivity, aggregation platform and automated trading.
Mentoring junior colleagues through pair programming, code reviews and reviewing design documents (RFCs).
Leading projects from design, planning, implementation and roll-out, which includes liaising with product managers and agile coaches.

Responsible for scaling the quant research, investment and portfolio management platforms.
Defined SLAs and improved observbility which led to steps to make the platforms more reliable.
Leveraging AWS CDK for custom scheduling and backtesting applicaions used across the quant engineering group (globally).
Designed tooling for templated creation of new C# projects to improve developer efficiency/experience.
Improved processing of end-of-day modelling with distributed caching services deployed on ECS.

Designed and lead the migration of the on-premise data platform to the cloud, running on Kubernetes.
Established CI/CD pipelines/practices with Azure DevOps, automating the build, test, package and deployment process.
Increased developer productivity by reducing build times from 60+ to 2 minutes.
Standardized observability across the company’s technology teams with ElasticSearch, Prometheus, Grafana and OpenTracing.
Mentoring junior members of the team on code quality, testing and engineering best practices.
Improved team efficiency by transitioning from Agile to Kanban and leading sprint planning and retrospectives.

Developing data-focused applications in a Microservice architecture deployed on Azure Kubernetes Services.
Enhancing end-user API performance built on ASP.NET to support 50,000+ concurrent requests.
Built observability tooling with open-source software (Jaeger tracing, Prometheus for metrics and Grafana).
Responsible for tooling to examine data quality, service health and performance benchmarking.
Building distributed applications producing and consuming from Kafka topics on Confluent Cloud for real-time Open High Low Close Volume aggregations as part of the calculation engine.

Reduced end-to-end data latency from 15 minutes to 5 seconds.
Built and scaled process to build custom web applications running in Docker and deployed as Azure Web Apps for bespoke analytics.
Presented at the Gartner Data & Analytics Summit London (2018) - “What Tim Peake has for Breakfast and other Stories from the Frontier of Human Performance.”

The efficacy of a movement control exercise programme to reduce injuries in youth rugby: a cluster randomised controlled trial
Designed and scaled data collection pipeline to support 30+ schools (~2000 players) written in R.
Statistical modelling and analysis in R – packages included MASS, car, zoo & ggplot2.

Education

University of Bath

MSc Computer Science (Sept 2022)

Loughborough University

BSc (Hons) Sports Technology (June 2015)