I'm the person customers call when strategy decks run out and code has to ship. Fourteen years designing production systems for enterprise — the last five focused on AI infrastructure: Kubernetes at hyperscale on bare-metal AWS Outposts, microsecond-latency cluster networking (Cilium / Multus / SR-IOV / Mellanox CX-7), and the kernel-level tuning (CPU pinning, NUMA awareness, IRQ affinity, isolcpus) that turns a general-purpose Kubernetes cluster into a deterministic real-time platform. I've taken that stack from AWS internal labs into globally-distributed production at four-nines availability.
Alongside the cluster work, I deploy Claude and other foundation models into regulated enterprise environments — designing RAG pipelines on AWS Bedrock, building evaluation harnesses that measure Claude against alternative models on real customer data, and guiding teams through the messy reality of getting AI past prototype.
I partner with senior technical and business stakeholders to identify high-impact opportunities and own delivery end-to-end. I'm at my best embedded with a customer's team: writing code, reviewing architectures, and translating between business outcomes and engineering trade-offs. Hiring, mentoring, and architecture reviews on the side.
14+
Years shipping enterprise systems
3×
Cloud-certified (AWS SA-Pro, AI, FinOps)
73%
Contract-review time reduction via RAG
$1M+
Annual savings from automation shipped