I build the systems that make your engineering teams AI-native.

AI agent orchestration and enablement

Design, build, and operate multi-agent AI systems for engineering teams. Tiered architecture, from local inference via Ollama through to managed inference and full agent orchestration. Enables AI-assisted development: automated code review, TDD loops, planning automation, and project management with human-in-the-loop governance.

• AI enablement strategy and roadmap for your engineering org
• Agent architecture design (model selection, cost/latency tradeoffs)
• Implementation of agent workflows (code review, testing, deployment automation)
• Team onboarding and governance framework

Platform engineering and cloud-native infrastructure

Design and implement internal developer platforms, container orchestration, and hybrid cloud infrastructure. IaC-first, GitOps pipelines. Deep enterprise experience with HPE Morpheus and hybrid cloud, bridging the gap between cloud-native ideals and enterprise reality.

• Internal developer platform design and build
• Container strategy: migration, orchestration, security
• IaC modernization from ClickOps to OpenTofu
• CI/CD pipeline architecture and cloud cost optimization

Open-source AI stack consulting

Help organizations adopt open-source AI tooling instead of locked-in SaaS. Evaluate, integrate, and operate open models and frameworks. Focus on practical enablement: getting teams productive with AI, not building research prototypes.

• AI tool landscape evaluation: build vs. buy vs. open source
• Self-hosted inference setup (GPU planning, model selection, benchmarking)
• RAG pipeline design and implementation
• Cost modeling: self-hosted vs. API vs. hybrid