Quality as an operating system
Align Quality Engineering practices, automation investment, KPIs, quality gates, and delivery priorities with product and business objectives.
AI QUALITY ENGINEERING ARCHITECT
ACHRAFBEN ABDESSALEM
Quality engineered as a strategic system.
I design AI-augmented quality platforms, modernize enterprise automation, and lead the shift from fragmented testing to continuous, risk-led Quality Engineering.
EXECUTIVE CAPABILITIESArchitecture depth.
Architecture depth.
Leadership impact.
I connect platform architecture, delivery discipline, and organizational change to make quality a measurable engineering capability.
Systems, not scripts
Design reusable platforms connecting UI, API, mobile, data, execution, evidence, observability, risk, and release readiness.
Governed intelligence
Apply LLM evaluation, intelligent test generation, self-healing, orchestration, and evidence-backed root-cause analysis within controlled workflows.
Capability that scales
Build teams, establish standards, raise engineering maturity, and guide the transition from isolated testing to continuous quality ownership.
Quality inside delivery
Embed automation, risk controls, and release evidence into CI/CD, cloud-native platforms, and product delivery workflows.
Evidence for decisions
Translate technical risk, quality signals, and automation ROI into clear choices for leadership and cross-functional stakeholders.
CAREER EXPERIENCEEngineering foundations.
Engineering foundations.
Enterprise quality leadership.
Software engineering, automation architecture, five selected SQLI client engagements, team building, and enterprise Quality Engineering transformation.
QA Automation Architect
Independent / FranceARCHITECTURE & TRANSFORMATIONDesigning scalable, automation-first Quality Engineering systems and leading transformation across practices, platforms, teams, and delivery pipelines.
Senior QA Automation Engineer
JCDecaux / Paris, FrancePORTFOLIO MODERNIZATIONModernized automation and strengthened Quality Engineering practices across a portfolio of more than 20 software products.
Senior QA Automation Engineer
Carrefour / Paris, FranceCRITICAL SYSTEMS & DATAProtected critical business and data flows during application refactoring and legacy-system migration.
Senior QA Automation Lead
SQLI / Paris, FranceMULTI-CLIENT TECHNICAL LEADERSHIPLed and guided QA engineers across client missions, resolved complex automation challenges, shaped tooling and CI/CD decisions, and contributed QA ROI studies to commercial proposals.
Senior QA Automation Engineer
Proxym Group / Sousse, TunisiaFUNCTION & TEAM BUILDEREstablished the automation function across a digital factory, built and led a 10-engineer team at peak, and became the central automation partner for engineering and delivery leaders.
Software Engineer
Diva Software / Sousse, TunisiaCombined web and mobile engineering with product consulting, test delivery, release monitoring, and production deployment for industrial software products.
Software Engineer
Think++ / Sousse, TunisiaWorked on real-time backend and mobile synchronization, platform testing, test reporting, and engineering support for education-management products.
PRIVATE PRODUCT IN DEVELOPMENT
Building an AI-native Quality Engineering control plane.
A governed system connecting quality strategy, planning, test execution, evidence, risk signals, release readiness, production intelligence, and continuous improvement.
The framework executes. The platform observes and orchestrates. AI operates within policies and approval gates. People retain control over sensitive decisions.
IN DEVELOPMENT / PUBLIC DETAILS COMING LATER
GOVERNED QUALITY SYSTEMCONCEPT ARCHITECTURE
QUALITY
CONTROL
PLANEPOLICY / EVIDENCE / DECISION
CONTROL
PLANEPOLICY / EVIDENCE / DECISION
One quality lifecycle, from requirement to production insight
Evidence-backed signals instead of isolated test results
Policy-controlled and traceable AI actions
Portable execution across customer and cloud infrastructure
Enterprise permissions, approvals, auditability, and governance
SELECTED TECHNOLOGIES
Engineering capability across the quality lifecycle.
A selected view of the technologies used to build automation platforms, validate distributed systems, enable delivery, and create quality intelligence.
Test strategy, QE operating models, risk and coverage, quality gates, KPIs, automation ROI, stakeholder alignment
OpenAI, Anthropic, LLM evaluation, MCP, intelligent orchestration, self-healing, test generation, risk intelligence
Playwright, Cypress, Selenium, Appium, Robot Framework, Cucumber, Provar, BrowserStack, LambdaTest
REST Assured, Karate, Postman, Newman, Kafka, PostgreSQL, MongoDB, SQL Server
Docker, Kubernetes, AWS, Azure, GitLab CI, GitHub Actions, Jenkins, Datadog, Xray, Jira
Java, TypeScript, JavaScript, Python, C#, Node.js, Spring Boot, Angular, React
Gatling, JMeter, Lighthouse, performance auditing, load modelling, production-oriented monitoring
CREDENTIALS
Engineering foundations and international fluency.
International Multidisciplinary School
Sousse, Tunisia
Higher School of Science and Technology of Hammam Sousse
Tunisia
INTERACTIVE QUALITY LAB
Stabilize the release.
An interactive concept, not live telemetry. Move the probe with a pointer or arrow keys, or select a signal directly. The confidence score is illustrative.
10%ILLUSTRATIVE RELEASE CONFIDENCE
POINTERARROW KEYSDIRECT SELECT
INTERACTIVE SIGNAL FIELDANALYZING
SIGNALS 0/5MOVE OR SELECT
No signals stabilized yet. Illustrative release confidence is 10 percent. 0 of 5 signals stabilized.
START A CONVERSATION
Looking for a Quality Engineering leader who can design the platform and lead the transformation?
Open to senior architecture and Quality Engineering leadership opportunities where platform design, automation strategy, and organizational change matter.