Delivery becomes visible
Work turns into tasks, reviews, and decisions instead of a black box.
Founder-level technology architecture
Turn complex software work into clear, controlled delivery.
When delivery stalls because decisions are unclear, context is scattered, legacy is risky, or AI is unmanaged, I bring structure back into the work.
Clients get sharper priorities, stronger architecture, safer AI use, and production changes owned by people.
15+ Years in Software
Founder
Enterprise Systems
AI-driven Workflows
Open Source
Client outcomes
What the client gets.
The goal is simple: fewer blind spots, fewer bottlenecks, safer decisions, and a clearer path from business intent to working software.
Risk becomes explicit
Architecture, legacy, and release risks show up before they get expensive.
AI speeds up the work
Claude, Codex, agents, and project memory help with execution. People still validate the result.
The team gets direction
Business goals, product logic, tasks, and review flow become one working process.
Legacy gets a path
Old systems move from vague rewrite talk to staged modernization.
Ideas move faster
Unclear ideas become prototypes, architecture decisions, or production-ready foundations.
What you get
Concrete outputs the team can use.
The output is not a report that sits in a folder. It is structure the team can use the next day.
Technical roadmap
A practical path from today’s limits to the next stable architecture.
Architecture decisions
Tradeoffs, boundaries, risks, and choices the team can use.
AI delivery workflow
Claude, Codex, project memory, skills, review, and validation in one process.
Review and release control
A clear model for who validates, approves, deploys, and owns production.
Modernization path
A staged plan that protects working business logic while reducing debt.
Execution foundation
A prototype, MVP base, or workflow the team can build on.
Positioning
Experience is the background. Better execution is the value.
Client problems usually sit between business goals, product value, architecture, team flow, legacy, and release risk. I connect those layers so the project can move.
Business-aware judgment
Technical choices are judged by value, risk, speed, and maintainability.
Architecture and implementation depth
Hands-on depth across platforms, CMS, CRM, ERP, e-commerce, APIs, PHP, frontend, databases, and enterprise software.
Controlled AI execution
AI helps with execution. Architecture, quality, and release responsibility stay human.
Operating Principles
Practical control for AI-assisted delivery.
Architecture before automation
AI is useful only when the system around it is clear.
Human control where it matters
Architecture, security, product logic, production approval, and responsibility stay with people.
Delivery over theatre
The goal is working software, not demos.
Long-term maintainability
Fast delivery should not create chaos.
AI systems preview
AI Workforce Architecture
AI-agent workflows that speed up software work without handing over control.
Complex work is split into tasks, executed with AI support, reviewed, and validated before production. AI executes; people own the result.
Result: faster iteration, fewer bottlenecks, and clear production ownership.
Explore AI SystemsTask decomposition
Agent-assisted implementation
Code review workflow
Architecture guardrails
Project knowledge graph
Skills, validation, and ownership
Proof through work
Where structure changes outcomes
The projects show how structure helps in platforms, teams, enterprise software, automation, commerce, and AI-assisted work.
Open-source platform
Evolution CMS
A MODX Evolution lineage that became an independent Evolution CMS project, with a history of 100k+ sites. I lead platform direction, modules, ecosystem, and review.
Open SourceCMSPlatform Ownership
Company building
DDA Production
Freelance work became a production company with team process, estimates, architecture, and 100+ delivered projects.
FounderCTODelivery Systems
Enterprise software
CareOffice / SOGEMA
Swiss CAFM/CMMS modernization where reliability, maintainability, and careful architecture matter.
EnterpriseSwitzerlandModernization
Credibility
Proof of Work
15+ years in software, plus earlier business and operations experience
Founder of DDA Production
Evolution CMS owner; MODX Evo history at 100k+ sites
100+ projects delivered at DDA Production
300+ projects across freelance and studio work
Swiss CAFM/CMMS enterprise experience
Open-source platform experience
Work across telecom, retail, e-commerce, communities, and web platforms
Modern AI-assisted development workflows
Services
Where clients gain leverage
I help when the business needs clearer technical direction, faster execution, safer AI use, or a realistic path through legacy and product uncertainty.
AI without chaos
AI Systems Consulting
Turn scattered AI experiments into controlled workflows with ownership, validation, and measurable delivery value.
Faster execution
AI-assisted Development Workflows
Use Claude, Codex, agents, project memory, review, and human oversight to reduce bottlenecks without losing production control.
Better decisions
Fractional CTO
Bring architecture, technology choices, team structure, risk, and delivery planning into one coherent technical direction.
Less uncertainty
MVP & Product Prototyping
Move from vague ideas to prototypes, architecture decisions, and production-ready foundations faster.
Path out of legacy
Legacy Modernization
Reduce technical debt, protect working business logic, and create a staged path toward maintainable architecture.
2009–Present — MODX Evolution → Evolution CMS
Started with MODX Evolution in 2009. After the 2016 community handover and 2017 Evolution CMS transition, I lead platform direction, architecture, releases, modules, and ecosystem maintenance.
2016–Present — Founder & CTO — DDA Production
Built and scaled a digital production company, managing delivery, architecture, clients, estimates, and team processes.
2022–Present — Enterprise Software Development — SOGEMA
Working on Swiss CAFM/CMMS software where reliability, maintainability, and careful modernization matter.
Current Focus — AI-driven Delivery & Autonomous Agent Workflows
Designing AI-driven workflows with Claude, Codex, knowledge graphs, skills, and controlled agent execution for real projects.
Beyond software
Beyond Software
Outside software, the same builder instinct shows up in product startups, house and sauna building, motorcycles, board sports, wind sports, and cycling. The pattern is the same: turn constraints into working systems.
Motorcycles & Travel
Snowboarding
Kitesurfing / Wingfoil
Cycling
Engineering Mindset
Next step
Let’s turn the bottleneck into a plan.
If the project is stuck, risky, or slower than it should be, start with a focused conversation about what needs to change first.