Services
The infrastructure that runs AI in production
Where governance, security, and reliability are first-class requirements - and the regulated cloud foundation underneath it.
AI & LLM Platform Engineering
The platform that turns an AI experiment into something a regulated org can actually run in production - governed model access, multi-account isolation, and the controls auditors ask about.
- AWS Bedrock and LiteLLM gateways
- Multi-account architecture and access control
- Observability and usage tracing
- Cost governance for LLM workloads
- Suits banking, fintech, and security-conscious teams
AgentOps & Production AI Reliability
Operating agentic systems safely once they are live - the discipline of running AI in production rather than prototyping it, so actions are gated, observable, and auditable.
- Health and behaviour monitoring for agents
- Human-gated, approval-before-execute actions
- Hash-chained audit trails
- Local-first and self-hostable deployment
- Suits high-stakes and regulated environments
DevOps & Cloud Engineering
The full foundation, in any environment - infrastructure built or fixed, with the option of the security and audit rigor I bring from regulated work, whether or not you need it.
- Kubernetes cluster design and operation
- Terraform and Ansible Infrastructure as Code
- CI/CD pipelines and release automation
- Cloud migrations on AWS and Azure
- Production troubleshooting - regulated or not
Incident Response & Production Reliability
The hard production incidents others have given up on - diagnosed, resolved, and turned into runbooks so the same failure does not recur.
- Deep-dive diagnosis of live production failures
- Networking, connectivity, and failover issues
- Observability and alerting that reflects reality
- Post-incident runbooks and hardening
- Suits teams running critical, high-availability systems
Embedded Consulting & Enablement
Working inside your team to ship the above - and leaving it maintainable, documented, and owned by your engineers when I am done.
- Architecture and platform assessment
- Hands-on implementation alongside your team
- Workflow and tooling decisions
- Documentation and knowledge transfer
- Workshops on the platforms I build
Built for regulated, high-stakes environments
My background is banking, fintech, and enterprise SaaS, where security, audit, and reliability are non-negotiable - the rigor I bring to every engagement. That same foundation covers plain infrastructure work too: I work as an embedded consultant, integrating directly with your team and adapting to your workflow, whether you need an AI platform built, a cluster designed, or production issues fixed.
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