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faster feature delivery
↓60%
repetitive dev work
0
loss of engineering rigor
29yr
enterprise delivery experience
The 6-Step Delivery Framework
01
Foundation
Turn AI Tools into Real Delivery Partners
Move from ad-hoc copilot usage to structured agents that plan, scaffold, refactor, and document — using GitHub Copilot for inline assistance and Claude Code for autonomous multi-step tasks.
Engineers focus on architecture, not boilerplate
GitHub Copilot Claude Code
02
Tooling
Build the Right Infrastructure Around Your Agents
MCP integration, terminal automation, and repository-aware search give agents access to your full codebase — so they can inspect architecture, run builds, and verify behavior across your whole product.
Agents that work across your stack, not just single files
MCP Repo-Aware Search Terminal Automation
03
Delivery
Replace Guesswork with Spec-Driven Workflows
Define goals, capture constraints, break work into explicit tasks, then implement against the plan. Reduces drift, makes reviews faster, and creates a repeatable model for both new features and legacy modernization.
Every sprint ends with goal-aligned, reviewable output
Spec-Driven Task Decomposition
04
Quality
Ship Confidently with Built-In Guardrails
Tests, linting, preview builds, code review, and runtime checks at every step. Critical when agents touch infrastructure or customer-facing features. High velocity and engineering rigor are not a trade-off.
More deploys per week with fewer rollbacks
Automated Testing CI Integration Code Review
05
Operations
Extend AI Beyond Code to the Full Delivery Lifecycle
Agentic patterns applied to CI/CD pipelines, infrastructure as code, documentation, migration work, and operational runbooks — removing friction at every stage, not just in the editor.
Faster feedback loops from commit to production
DevOps IaC Runbooks
06
Scale
Make It Stick Across Every Team
Training, repository conventions, prompt artifacts, and reusable agent workflows help all engineers adopt shared patterns — not isolated experiments. Outcomes become consistent, scalable, and governable.
Scalable adoption your CTO can actually govern
Team Training Conventions Governance
AI Coding Tools Used
GitHub CopilotInline pair-programming, autocomplete, and code suggestions within your IDE
Claude Code (Anthropic)Autonomous multi-step coding tasks: scaffold, refactor, test, and document across your full repo
Core Principles
🎯 Spec-Driven

Every agent task starts with a clear goal and explicit constraints — no guessing, no drift.

✅ Validated at Every Step

Tests and checks before any AI-generated change reaches production code.

👷 Humans Stay Accountable

Agents assist — engineers own architecture, security, and outcomes.

🔁 Shared, Not Siloed

Team-wide conventions and reusable workflows, not one engineer's experiment.

Who This Is For
Engineering LeadersPredictable velocity with full governance
Senior DevelopersDeep tooling, MCP, and workflow depth
Engineering ManagersConsistent output that survives code review

Ready to ship 3× faster without losing control?

Free 45-min consultation. We map which of the six steps unlocks the most value for your team first.

→ Book on LinkedIn

Microsoft Certified since 1997

Professional Services

AI Transformation

AI Transformation

Master the shift from exploration to real impact with a guided path to AI adoption. I help organizations unlock the value of AI agents and intelligent automation to streamline workflows, reduce routine tasks, and boost productivity across the business.

Through collaborative assessments and practical co-creation, we identify high-value opportunities where AI can enhance decision-making, accelerate execution, and improve customer and employee experiences.

With strategic guidance and hands-on support, your teams gain the clarity, skills, and confidence to integrate AI into everyday operations, enabling scalable, sustainable transformation that delivers meaningful business results.

Architecture & Engineering

Architecture & Engineering

Design and deliver AI solutions with a clear architectural foundation that aligns business goals with the right technical approach. I help organizations choose the best path for each scenario, from low-code options like Copilot Studio to engineered pro-code solutions using Microsoft Foundry or the Agent Framework.

From proof-of-concepts through implementation, testing, and optimization, I focus on the engineering required to build secure, reliable, and scalable AI systems. This includes defining robust architectures, validating feasibility, integrating AI agents, and ensuring operational and compliance readiness.

With a focus on long-term scalability and governance, I turn concepts into production-ready platforms and agentic solutions that accelerate innovation and deliver strong business value.

Training & Team Enablement

Training & Team Enablement

Empower your workforce with expert-led guidance built on over 29 years of global experience. I help teams build the skills and confidence needed to thrive amid accelerating change—especially as agentic software engineering, automation, and AI-driven ways of working reshape expectations.

Through hands-on learning and real-world scenarios, your organization gains practical capabilities to adopt AI effectively, respond to disruptive challenges, and stay ahead of the increasing pace of innovation.

With tailored programs and collaborative mentoring, your teams grow from foundational understanding to confident execution—building intelligent, scalable solutions and contributing to a future-ready, AI-enabled enterprise.