Platform and Data Engineering Manager
I build systems that build systems.
I lead Platform and Data Engineering at Valeo Financial Advisors, partnering directly with executive leadership to turn business priorities into dependable software and data systems. I manage the engineering team, set technical direction, and stay close to the code.
Production · Technical lead & platform owner
VAMOS — the firm's internal advisor platform
From inherited prototype to production source of truth in about a month — and now the platform behind a 200-person quarterly process.
VAMOS replaced the spreadsheet behind practice composition and compensation. I lead platform work with a team of contributors and partner with finance leadership.
In internal use · Platform architect & owner
Armada — a deployment platform for AI-built apps
A platform for running internal applications with clear operational and ownership boundaries.
Armada hosts internal applications used by colleagues. Reliable deployment and recovery work continues as the self-service workflow develops.
In production · Technical standards & enablement
VFA-Tools & VFA-Context — a portable agent harness
Shared engineering workflows and context shaped by delivery, review, and incident lessons.
VFA-Tools packages reusable workflows while VFA-Context carries shared domain and technical knowledge. Their practices are used across repositories.
- Claude Code skills
- Markdown
- git submodules
- Conventional Commits
How I lead and build
Systems thinking
I design for the whole system.
Tools, data, processes, and people shape one another. I trace those relationships, plan for second-order effects, and design around the outcome the whole system needs to support.
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Connect business priorities to engineering
I work directly with executive leadership to clarify outcomes, constraints, and tradeoffs, then turn business priorities into dependable systems.
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Give the team direction and ownership
I manage the engineering team with clear goals, useful feedback, and ownership that matches each person’s experience. I set technical direction while helping people grow into more of the work.
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Protect meaning and reliability
Data systems need clear definitions, dependable flows, and visible caveats. I connect technical models to how the business uses the information so the output stays interpretable and trustworthy.
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Use shared tools with sound judgment
Shared engineering practices and AI tools can make delivery more consistent. I help the team use them with review, security, and production ownership built into the work.
Same brain, different playground.
After hours, systems thinking turns into games, local automation, helmet builds, and increasingly strong opinions about audiobooks.
More code → Have a complicated system?
If your problem spans software, operations, data, and people, that's exactly the kind of problem I like solving.