About
I help organisations adopt generative AI without compromising on security, reliability or accountability.
I've spent more than sixteen years across software engineering, DevOps, data and cloud architecture, and I hold a PhD in cloud-native software architecture.
Much of my recent work has been in public health, where systems run around the clock and real people depend on them. That shaped how I think: reliability and clear accountability come first, and new technology earns its place by making things better for the people using it.
- Amazon Bedrock
- Amazon SageMaker
- Lambda
- Amazon Connect
- Amazon Lex
- RAG
- AI Agents
- Python
- Terraform
- CloudFormation
- Docker
- Kinesis
- DynamoDB
- Glue
- Athena
- CI/CD
Expertise 06
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Generative AI
Designing LLM applications that hold up in production, grounded in your own data and built to scale.
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Accountable AI
Making AI systems explainable, testable and auditable, with people in control of the decisions that matter.
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Cloud architecture
Secure, highly available cloud platforms that are serverless, event-driven and designed to recover.
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Conversational AI
Voice and chat experiences at large scale, where every interaction matters.
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Platform engineering
Repeatable, safe delivery from commit to production, with the visibility to run it well.
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Data engineering
Turning scattered data into something teams can query, trust and build on.
Let's connect
Open to conversations about generative AI, cloud architecture and building systems people can trust.
Message me on LinkedIn →