Human-reviewed financial review
Designed an AI-assisted workflow for reviewing financial documents and transcripts, preparing structured questions and summaries while keeping people responsible for decisions.
I design and build secure, human-centred AI systems and the cloud foundations behind them—from data pipelines and model orchestration to the product experience people use every day.
Examples of the business workflows I have helped improve, described without internal product names or proprietary details.
Designed an AI-assisted workflow for reviewing financial documents and transcripts, preparing structured questions and summaries while keeping people responsible for decisions.
Built a treasury dashboard and self-service data intake workflow that brought multiple outflow sources into a traceable forecast with useful planning horizons.
Improved shared application foundations with clearer architecture boundaries, event-driven audit and telemetry, secure workload identity, and reusable cloud infrastructure.
Built cloud-hosted AI services, retrieval systems, workflow APIs, model evaluation, and analytics pipelines for business and operational teams.
A personal product platform for experiments and useful software. These projects are independent of my consulting work and are at different stages of development.
A platform shell for bringing applications, games, and labs together, with product access and permissions managed independently from sign-in.
A focused queue-management product for organising work items and keeping operational tasks moving.
A household inventory product in the Quantum Shelf ecosystem, designed to make everyday home stock easier to track.
An interactive investigation experience where players work a case and a live audience can contribute leads and vote on next steps.
An experimental SDK for contextual in-app guidance, connecting semantic actions to navigation and an early natural-language planner.
I work across architecture and implementation, connecting business needs to systems that teams can operate, secure, and extend.
Agent workflows, retrieval, model evaluation, human review, and traceable outputs grounded in reliable data.
Azure-native delivery, managed identities, secure data access, infrastructure as code, and environment promotion.
Python services and modern web applications, with CI/CD, operational telemetry, and production support built in.
Manager, Business Transformation · AI Lab
Leading hands-on architecture and engineering for internal AI products and shared delivery foundations.
Senior AI Software Engineer
Built cloud-native AI and data services, workflow APIs, and evaluation and telemetry capabilities.
Senior AI Software Engineer · Data & AI Tech Lead · Senior Data Analyst
Progressed through data analytics, data and AI leadership, and enterprise AI engineering roles.
For AI platform, cloud engineering, and product conversations, reach out by email or find me on GitHub.