Engineering leadership for AI-native software delivery

I help engineering organisations move from ad hoc AI coding assistance to governed, measurable, AI-native software delivery systems.

My work sits at the intersection of engineering leadership, multi-agent systems, context engineering, secure SDLC, and delivery performance. I build the operating models, quality gates, and platforms that let teams use AI safely without giving up judgement, accountability, or delivery discipline.

What I Focus On

AI-native SDLC systems

Multi-agent workflows that support planning, implementation, review, evidence collection, and release readiness while keeping human approval where it matters.

Governance and context engineering

Policies, standards, and architectural constraints turned into agent-consumable context, CI checks, evaluation harnesses, and audit evidence.

Engineering leadership and delivery performance

Practical leadership systems using DORA, SPACE, flow, quality signals, release governance, and team health to improve outcomes rather than just report activity.

Featured Work

• Multi-Agent SDLC Control Plane
• Agentic Governance Engine
• Context Quality Benchmark Harness
• Engineering Health Radar
• Role Fit Explorer

Leadership Evidence

Across engineering management and consulting roles, I have scaled teams, coached technical leaders, improved roadmap predictability, reduced production and release risk, and built delivery systems that connect strategy, architecture, and execution.

Hiring For This Kind Of Work?

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