Leadership · Adoption · Delivery systems
Engineering leadership and AI adoption
Helping engineering teams adopt AI through clear direction, coaching, dependable delivery practices, and evidence of what changed.
My approach
I combine software engineering management with hands-on architecture leadership, helping distributed teams move AI from individual experimentation into shared, governed, and repeatable delivery practice.
Focus
In practice.
Adoption with intent
Anchor AI usage in real engineering outcomes, repository readiness, and team workflows rather than tool access alone.
Coaching and enablement
Build confidence through clear expectations, examples, feedback loops, and shared practices that teams can improve together.
Operating-model design
Connect ownership, standards, delivery cadence, controls, and measures so adoption can survive beyond an initial initiative.
Cross-functional alignment
Translate emerging technology into decisions that engineering, product, operations, security, and leadership can act on.
Evidence
Relevant experience.
Multiple engineering contexts
Led cloud-native workflow engineering across healthcare and legal-technology products while maintaining hands-on architectural depth.
AI adoption leadership
Owned an engineering AI-adoption initiative spanning Copilot usage, coding-agent availability, and governance direction.
From adoption to accountable delivery
Connected enablement with validation, escalation, and evidence so progress could be understood beyond usage counts.
Read the adoption perspectiveWhere it helps
Problems this
experience addresses.
- Engineering teams adopting GitHub Copilot or coding agents
- Organizations turning AI experiments into standard delivery practice
- Distributed teams needing clearer ownership and delivery rhythm
- Leaders aligning technical change with product and operational outcomes
Related work
Related work.
Related disciplines
- Software engineering management
- Engineering leadership
- GitHub Copilot
- AI adoption
- Coaching
- Cross-functional delivery
Contact
Start a conversation.
If my work is relevant to something you are building, I would be glad to hear from you.