I've been working at Acuity Analytics (previously Ascent) for over nine years, progressing from an entry level software engineering role to a Technical Architect. Across pharmaceutical, legal, and public-sector projects, I've consistently been the person responsible for translating complex business challenges into reliable, scalable software. I also make sure the engineering team can deliver and maintain it.

Designing systems that are built to scale; from greenfield projects to modernising legacy platforms. I align technical direction with businesses' long-term goals and make the trade-offs explicit so nothing is a surprise later.
Microsoft Azure-native architecture and integration design for enterprise systems. I've delivered global, multi-tenant solutions and connected complex third-party platforms in heavily regulated sectors.
Hands-on across the full stack; React, .NET, Docker, and CI/CD pipelines. I especially enjoy contributing to projects or leading a small team through delivery, from proof-of-concepts to production ready solutions.
Creating environments where engineering teams thrive. I set the technical standards and practices that matter; code reviews, deployment automation, monitoring-enabling fast, reliable delivery. Mentoring engineers and building lasting technical culture is where I find the most impact.
Statistics, Machine Learning, Financial Engineering, and Algorithmic Trading. Dissertation on deep neural networks for equity market trading strategies using Stacked Bidirectional LSTM and CNN-LSTM models.
Machine Learning, NLP, Knowledge Discovery, Web Intelligence, and Intelligent Interfaces. Dissertation on Question Answering using Wikipedia as a single knowledge source.