Former VP of Engineering. Now building an AI FinOps product.

I have spent the last 14 years building cloud systems, leading engineering teams, and working mostly in Go, AWS, Kubernetes, and distributed infrastructure.

• I am working on AI FinOps: helping teams move from cloud-cost recommendations to changes they can trust.
• Before this, I was a VP of Engineering and technical lead across cloud-native systems.
• I helped bring a blockchain infrastructure project to launch after it had been delayed for more than three years.
• I write about the build as it happens: product decisions, engineering tradeoffs, AI workflows, and lessons from running systems in production.
• I am most useful around Go, AWS, distributed systems, infrastructure, and engineering leadership.

Some of my deepest engineering experience came from building blockchain infrastructure from the ground up.

This was not distributed systems in the usual CRUD-service sense: APIs, databases, queues, and scaling knobs. The system had no lead node with special authority. Every node in the network had the same duties, the same rules, and the same chance to participate.

The network worked only when independent machines could follow the protocol, validate state, communicate under unreliable conditions, and still converge on the same outcome. Together, those nodes formed the foundation that more complex business logic could run on.

What we could rely on was the protocol, careful implementation, enormous test coverage, and a lot of long nights debugging timing, state, networking, and consensus issues. Getting that system to launch, and stay alive, was one of the most challenging and fulfilling things I have worked on.

• Programming: Go (Golang), C++, Python, React.js
• Cloud: AWS
• Containers: Docker, Kubernetes, Helm
• Infra as Code: Terraform, CloudFormation
• Distributed Systems: Consensus protocols, blockchain infrastructure, peer-to-peer networks, event-driven systems
• DevOps: CI/CD, GitHub Actions, Observability, Monitoring

• Substack
• Medium

• The Paradigm Shift in Cloud Financial Operations: Transitioning to Agentic AI
• Building in the Age of AI: Between Convenience and Understanding
• We Built an Autonomous FinOps Agent. The Real Lessons Weren't About Cost.
• Building AI-Native FinOps: From Chat Outputs to Actionable Interfaces
• Rethinking Technical Debt: How AI Changed the Way We Maintain Software
• Why Streaming Plans in Real Time Was Worth the Architecture Overhaul

• Building the first version of the AI FinOps product.
• Writing in public while the product takes shape.
• Talking to teams that care about cloud cost, infrastructure risk, and making recommendations actionable.

The hard part is not finding cloud waste. It is knowing which change is safe to make next.