Mehdi C.

As part of a strategic banking IT system transformation program and migration to CBS 2024, I am acting as the Artificial Intelligence IT Transformation Strategist: I design, lead, and industrialize the use of AI as a central lever for acceleration, modernization, and engineering performance.

I define the IT teams' AI roadmap, selecting the most suitable tools (GitHub Copilot, Amazon Q, Claude agents), structuring augmented engineering practices, and engaging teams in a sustainable transformation. I manage adoption governance through KPI dashboards that measure productivity gains, adoption rates, and transformation ROI in real-time — providing decision-makers with actionable insights on each initiative.

I design and orchestrate autonomous AI agents — executed in parallel and sequentially — to industrialize large-scale application modernization: Java 7 to Java 21/25 migration, WinDev application transformation to React, refactoring to Apache Kafka event-driven microservices architectures.

This multi-agent approach drastically reduces delivery times while managing technical debt and ensuring architectural consistency.

I oversee AI-assisted test automation and CI/CD pipelines, ensuring proactive regression detection, continuous code quality analysis, and fine-grained management of technical risks associated with application evolutions.

This mission makes AI the concrete engine of an ambitious banking transformation, aligned with industrialization, performance, and delivery acceleration goals.

As a senior reference developer, I designed and delivered critical features on a high-traffic digital platform, managing the entire application lifecycle — from technical design to production deployment.

Design and development of complex features in Java/Spring Boot microservices architecture, defining interface contracts and Avro schemas in close coordination with partner teams (Mobile, Adobe Campaign, Didomi). Ensured technical consistency and alignment between domains.

Migration anddockerizationof microservices (transition from JIB to Dockerfile), deployment and orchestration viaKubernetes and ArgoCD— ensuring reliable, reproducible, and automated deliveries. Full management of production releases while maintaining a high level of availability.

Implementation of application monitoring viaDatadogto ensure proactive performance supervision, rapid incident detection, and continuous improvement of service reliability.

Facilitation ofScrumrituals, inter-team coordination, and continuous flow delivery in a demanding multi-partner environment.

As a reference Tech Lead, I led the design and delivery of strategic features on a microservices architecture, while orchestrating several major technical modernization initiatives conducted in parallel with delivery.

I led three simultaneous structuring migrations: migrating from RabbitMQ to Apache Kafka for a scalable event-driven architecture, migrating infrastructure from AWS to GCP, and modernizing CI/CD pipelines from Jenkins to GitHub Actions — reducing build times and improving deployment reliability.

Dockerization of applications, orchestration via Kubernetes, continuous deployment, and integration of Feature Flags for smooth, non-disruptive production releases with fine-grained control.

Practice of TDD and a culture of quality within the team, proactive monitoring via Datadog to ensure performance, availability, and rapid detection of production incidents.

Coordination of Scrum rituals, management of the technical backlog, and alignment of priorities between functional delivery and operational excellence.