I help tech companies solve hard product and engineering problems, from unclear ideas and messy systems to simple, reliable solutions in production.
Most of the work happens deep in engineering. The result should still be simple: less friction, fewer surprises and more time spent building the product.
Monthly savings from recent platform work, while simplifying the platform.
Engineering leadership with enough technical depth to stay close to the work.
From product intent and technical choices to implementation, validation and production.
Product thinking, development, infrastructure, automation and operations when the problem needs more than one specialty.
Software, infrastructure, product and engineering leadership, with the context to connect them.
The interesting problems rarely belong to just one team.
I’ve spent my career moving between software, infrastructure, SRE, product and engineering leadership. I also work in a Forward Deployed Engineering (FDE) way when it fits: close to the real problem, the team and the customer. That matters when a problem doesn’t fit neatly into one specialty.
I can work with the business, go deep with engineers, challenge the architecture, build when needed, and still keep delivery and people in the picture.
I like problems that don’t come with a job description.
Turn a product idea or business problem into a working solution, from technical direction and prototype to production.
Simplify clusters, deployment, observability and day-to-day operations so the team has one clear way to work.
Cut waste and make infrastructure choices with cost, reliability and business priorities in mind.
Remove unnecessary handoffs so ideas reach production with fewer steps and fewer surprises.
Use agents for debugging, shared context, environments and repetitive engineering work, useful work, not demos.
Give teams clear ownership, sensible guardrails and security boundaries without slowing down the work.
I work across development, automation, infrastructure and operations. AI is one tool in that system, useful when it removes friction or helps the team understand and move faster.
The goal is simple: shorten the path from a real problem to a useful, reliable solution, then learn from production and improve it.
I choose tools around the problem, not the other way around. These are some of the technologies I work with regularly.
You do not need to know the technical answer before we talk.
Turn an idea into a working product, internal tool or technical capability and take it all the way to production.
Cloud cost, reliability, Kubernetes, observability, deployments or anything slowing the team down.
Practical AI for development, debugging, automation and shared rules across the team.
Senior technical and team leadership when you need direction and execution, without hiring a permanent executive.
It can be something you want to build, a platform getting in the way, an AI idea you want to make real, or an engineering problem you have not figured out yet. A few lines are enough.