Design, build, and operate multi-agent AI systems for engineering teams. Tiered architecture — 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

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 — bridges 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

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