About

I am an engineering manager and consulting engineering leader focused on AI-native software delivery systems.

I help organisations move from ad hoc AI coding assistance to governed, measurable delivery systems: multi-agent workflows, context engineering, RAG and MCP patterns, CI/CD quality gates, delivery intelligence, and human approval models that make AI useful without making engineering reckless.

What I Bring

Engineering Leadership

I have scaled engineering organisations, hired and coached engineering managers and technical leads, improved roadmap predictability, reduced release risk, and helped teams connect product strategy to architecture and execution.

AI-Native SDLC

My recent work focuses on agent-assisted delivery, governance enforcement, context quality, retrieval evaluation, and measurable AI reliability across the software development lifecycle.

Delivery Systems

I use DORA, SPACE, flow, quality, risk, and governance signals to help engineering leaders understand where delivery is blocked and what interventions will actually improve outcomes.

Selected Outcomes

• Scaled engineering leadership across multiple product teams while sustaining high retention.
• Improved roadmap predictability by translating changing strategy into sequenced, outcome-focused delivery plans.
• Reduced rework and defect escape through architectural guardrails and hands-on design leadership.
• Improved deployment frequency, lead time, flow efficiency, and release readiness through practical engineering metrics.
• Designed secure multi-tenant SaaS patterns with RLS, audit baselines, CI security scanning, and governance checks.

Current Focus

I am especially interested in roles and contracts around:

• Engineering Manager / Senior Engineering Manager
• AI Engineering Manager
• Platform Engineering Manager
• Developer Experience and internal platform leadership
• AI-native SDLC transformation
• Multi-agent delivery systems
• Engineering governance and quality strategy

Get in touch or explore the projects.