Azure Cloud Native Apps

Imagine building software that grows with your business—automatically scaling during peak demand, updating without downtime, and running smoothly across any cloud platform. That’s the promise of Cloud Native Apps.

These applications are born in the cloud and built using modern technologies like containers, microservices, and APIs. They run in a mostly distributed manner, allowing components to scale independently, recover quickly, and evolve without disrupting the entire system.

This architecture supports modern deployment patterns such as serverless, event-driven, and hybrid cloud setups—enabling faster delivery, better fault tolerance, and reduced operational overhead.

Cloud Native isn’t just a tech trend—it’s a strategic foundation for building resilient, agile, and future-ready applications in a digital-first world.

Agentic DevOps & IaC

Delivering scalable AI applications starts with a solid DevOps foundation. Azure DevOps and Infrastructure as Code (IaC) enable teams to automate everything—from provisioning environments to deploying intelligent services.

Using the Azure Developer CLI (azd), developers can streamline the setup and deployment of AI apps across environments with consistent, repeatable workflows. This simplifies collaboration, reduces errors, and accelerates delivery.

IaC ensures that infrastructure is version-controlled and auditable, while Azure DevOps pipelines integrate seamlessly with GitHub and other tools to support continuous integration and deployment.

Whether you’re modernizing legacy systems or building new AI-powered solutions, DevOps ecosystem empowers teams to move faster, stay secure, and scale confidently.

Apps, Agentic CMS, & Optimization

Angular v21 with Signals, standalone components, NgRx SignalStore and SSR lets teams build independent UI features that deploy and evolve separately, yet compose seamlessly in large applications. Agents scaffold components, stores, routes and Vitest tests from a feature brief, delivering PR-ready code in a single session.

Hugo powers blazing-fast static sites with zero runtime, making it ideal for marketing portals, documentation and content-heavy platforms. Agents handle page creation, Markdown authoring, image generation and CMS publishing automatically, so the site grows without growing the ops workload.

Agentic SEO and accessibility run continuously across both stacks. Lighthouse MCP audits Core Web Vitals on every build, axe-core checks WCAG compliance on every PR, and agents generate the fixes rather than just reporting the issues.

~80%

devops toil automatable

azd

one cmd · full azure env

v21+

angular signals + ssr

29yr

cloud delivery xp

Agentic Cloud Native in 8 Steps

Map Goals, Constraints & Agent Topology Before Writing Code

Organisations that skip architecture design end up rebuilding. Strategy workshops align business goals, cloud maturity, and team constraints before a single line of code is written — and agent topology design determines which workloads belong in Copilot Studio, which need Foundry Agent Service, and which require the full Agent Framework. You get an architecture decision record, an agent topology diagram, and a clear build sequence your engineers actually trust.

azd + Bicep — Full Azure Landing Zone in One Command

Inconsistent infrastructure provisioning is the leading cause of cloud cost overruns and compliance failures. CAF-ready landing zones provisioned via azd and Bicep deploy networking, identity, governance baselines, and environment tagging consistently across dev, staging, and production — in minutes, not months. Agents generate and validate IaC from natural-language descriptions, making every environment repeatable and auditable from day one.

CI/CD Pipelines That Write, Fix & Improve Themselves

CI/CD pipelines that require manual diagnosis on every failure are a permanent tax on your engineering team. Claude Code and GitHub Copilot Agent Mode generate and debug GitHub Actions workflows — and when builds fail, agents diagnose the root cause and raise a fix before your on-call engineer even opens Slack. Pipeline failures become background noise instead of escalations.

Agents Scaffold .NET Aspire, Dapr & Container Apps

Legacy monolith modernisation grinds to a halt when teams spend more time writing boilerplate than solving architectural problems. Agents scaffold .NET Aspire service projects, Dapr component manifests, Cosmos DB bindings, and health checks from architecture briefs — with event-driven patterns, saga orchestration, and telemetry wired in from day one. Modernisation that would have taken months completes in weeks, with engineers reviewing decisions rather than hand-coding plumbing.

Angular v21 Micro-Frontends as AI-Native Add-Ons

Frontend work is consistently the bottleneck in full-stack delivery. Agents scaffold Angular v21 signals components, standalone modules, NgRx SignalStore state, and Vitest+Playwright test suites — starting from your architecture brief, not a blank file. New AI-powered UI features go from idea to PR-ready in a single agentic session.

Quality Compliance on Every Pull Request

Accessibility issues discovered at the end of a sprint cost ten times more to fix than ones caught at the PR. Playwright MCP runs WCAG audits on every PR — Claude Code detects and patches ARIA gaps, contrast failures, and keyboard issues in Angular templates automatically. Agents also audit Angular SSR routes for meta tags, JSON-LD, and Core Web Vitals via Lighthouse MCP, raising corrective PRs without waiting for a manual SEO review.

Azure Policy, Purview & Responsible AI Guardrails

Cloud estates without policy enforcement diverge from compliance standards the moment engineers start shipping. Azure Policy enforces tagging, SKU, and region constraints across all environments. Purview tracks data lineage, Content Safety and Managed Identity secure the AI layer, and Responsible AI guardrails are embedded in every agent invocation — not bolted on after your security team raises a finding.

Observability + Team Skill Transfer

Systems handed over without observability become black boxes your team is afraid to touch. Azure Monitor and Application Insights dashboards are wired in from the landing zone, and agents generate alert rules and runbooks from your architecture. Structured training and knowledge transfer close the loop — your team owns and evolves what was built, instead of inheriting a system they don't understand.

Cloud Native Stack

Agentic Stack

Microsoft Certified since 1997

Professional Services

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

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

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.

Agentic Hugo CMS

Build AI-ready, lightning-fast websites with Hugo — extended with dynamic backends and autonomous content agents. From static site to fully agentic publishing platform, we handle migration, architecture, backend development, and automation so your teams can focus on strategy.

Autonomous content agents research topics, draft articles, and publish multi-channel media campaigns — then analyse engagement and report back on what worked. Your site stays fresh, your campaigns run themselves, and your team focuses on strategy.

Let's make your Agentic AI journey extraordinary