Bridging complex technology with real-world business outcomes. Enterprise SaaS → cloud governance → technical customer strategy → enterprise AI & security.
I'm a customer-obsessed technology professional who leads with a security-first mindset and uses data to drive the decisions that matter.
My experience spans enterprise SaaS, technical account management, cloud governance, FinOps, cyber risk and customer success.
I work at the intersection of technology and business, helping organisations navigate complex technical environments, improve adoption, strengthen governance and translate technology into measurable outcomes.
My background combines hands-on exposure to cloud and data technologies with enterprise consulting and strategic customer leadership. Alongside my industry experience, my academic work in Software Engineering and Artificial Intelligence has developed my interests in AI systems, cybersecurity and the emerging challenges of securing intelligent applications.
I'm particularly interested in the future of enterprise AI: how organisations architect, integrate, govern and secure AI-powered systems at scale.
Turning complex customer requirements into practical technical solutions, and helping organisations maximise value from enterprise technology.
Cloud governance and FinOps experience across AWS, Google Cloud and Azure, paired with technical fluency in Python, SQL and APIs.
Advising on the architecture, governance and security of modern AI systems, including secure enterprise AI adoption, access boundaries, and applied ML security.
Driving success for Adobe customers by leading strategic adoption of Document Cloud solutions, including Acrobat Studio, Acrobat Sign and integrated PDF workflows.
Managed a portfolio of corporate accounts to ensure compliance and entitlement integrity, bridging data analysis with strategic advisory on licensing frameworks.
Technical account management across product adoption, client services and troubleshooting for a product analytics platform.
Worked across AWS, Google Cloud and Microsoft Azure to help cloud-driven enterprises optimise investment and accelerate innovation.
Technical success and enterprise solutions for a UGC platform processing over a billion monthly interactions across thousands of retail sites.
Selected case studies, published in full as each reaches completion. Source available on GitHub.
A retrieval-based enterprise AI solution for secure access to organisational knowledge, with attention to identity, authorisation, information boundaries and prompt-injection risk.
An authenticated API integration covering data transformation, persistence and error handling, the connective layer most enterprise solutions depend on.
A security analytics application that processes authentication data to identify suspicious login behaviour and surface actionable insight.
An investigation into adversarial attacks against image classification models, and the techniques used to evaluate and harden model robustness.
A FinOps analytics tool that surfaces cloud spend trends across providers and flags anomalous cost spikes before they hit a monthly bill.
Automates entitlement and licence-position reviews across enterprise accounts, flagging mismatches between deployment and contract terms.
A churn-risk model built from product usage and support signals, giving CSM and TAM teams an early read on accounts likely to disengage.
Maps user permissions across enterprise systems into a single access matrix, highlighting excess privilege and stale grants for review.