Engineering Systems Architect

Complex work, made simple.

I design and build internal engineering systems for teams who need clarity, speed and confidence without carrying unnecessary tooling complexity.

Platform Architecture Quality Engineering Developer Experience Applied AI

Portfolio designed as a web page and printable engineering dossier.

00 / WHY

The motivation has not changed.

I have never been motivated by automation itself.

What interests me is understanding how people work, identifying unnecessary complexity and designing systems that remove it.

The technologies changed over the years: business processes, software products, test automation, internal platforms, AI-assisted workflows. The underlying problem remained the same.

01 / JOURNEY

From needs to systems.

OPCAIM Understanding organizations, processes, user needs and operational constraints. Business analysis
Techdisturb Translating client needs into products, workflows and software design decisions. Product & consulting
Agorapulse Moving closer to engineering teams through QA processes, CI workflows and test automation. QA automation
Deezer Scaling quality practices across mobile, web and release workflows. Quality at scale
HarfangLab Hands-on automation in a cybersecurity context: Python, Behave, Pytest, Playwright and Kubernetes environments. Automation engineering
Believe Building the platform layer: QAAS, Eve, CLI, environment diagnostics, container-first execution. Platform architecture
02 / THE RESULT
Believe · Lead QA Platform Architect

Believe is not just an experience. It is the proof.

QAAS

Unified Engineering Platform

Transforming Cypress, Pytest, K6, secrets and container execution into a single developer experience.

2h

onboarding instead of 2 weeks
Eve

AI-assisted Engineering

Generating test artifacts from business intent through structured context retrieval and controlled pipelines.

AI

copilot used in production
Platform CLI

One interface for many tools.

One command interface to orchestrate testing, diagnostics and engineering workflows.

$ make doctor
Environment Doctor

From setup issues to productive work.

Automatically detects configuration issues and provides actionable fixes before engineers lose time troubleshooting.

$ make doctor

✓ Docker running
✓ Vault reachable
✗ PostgreSQL missing

Suggested fix:
brew install postgresql@17

Ready in 18s
03 / CASE STUDIES

Same work, different readings.

QAAS

Quality platform from a QA angle: E2E, API, performance, release confidence.

Developer Experience

QAAS from a DevEx angle: CLI, self-service, onboarding, zero local setup.

Quality Engineering

How I think about edge cases, risk, automation and confidence.
04 / POSITIONING

Not two profiles. Two perspectives.

Quality Engineering

Building confidence in software delivery through test platforms, quality gates, edge-case analysis, performance and release readiness.

Explore Quality →

Developer Experience

Helping engineers focus on building products through tooling, conventions, automation, platform thinking and simpler workflows.

Explore DevEx →
05 / STACK

Tools I use to remove friction.

Languages

Python · TypeScript · JavaScript · SQL

Testing

Playwright · Pytest · Cypress · Behave · K6 · Postman

Platform

Docker · Kubernetes · GitHub Actions · GitLab CI · Jenkins · Vault

AI

RAG · agents · structured pipelines · Jira / Confluence / GitHub context

Practices

DX · CI/CD · risk-based testing · architecture · documentation

Focus

simple interfaces over exposed complexity

Quality engineering, developer experience and AI-assisted systems are different ways of solving the same problem: understanding how people work and building systems that make that work simpler.