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 ArchitectureQuality EngineeringDeveloper ExperienceApplied 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.

OPCAIMUnderstanding organizations, processes, user needs and operational constraints.Business analysis
TechdisturbTranslating client needs into products, workflows and software design decisions.Product & consulting
AgorapulseMoving closer to engineering teams through QA processes, CI workflows and test automation.QA automation
DeezerScaling quality practices across mobile, web and release workflows.Quality at scale
HarfangLabHands-on automation in a cybersecurity context: Python, Behave, Pytest, Playwright and Kubernetes environments.Automation engineering
BelieveBuilding 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.

$ make doctor
Environment Doctor

Diagnosis before frustration.

A tool that detects setup issues early and reduces support friction for engineering teams.

DeveloperDoctorReady
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.