Mohamed C.

Missions and Responsibilities:

• • Definition of the target architecture based on Hexagonal Architecture and Microservices principles, ensuring full decoupling between business logic and technical infrastructures.

• • Leadership of the implementation of Spring AI to transform urban asset management.

• • Design of intelligent assistants capable of querying asset databases using natural language.

• • Development of prototypes aiming to correlate IoT data (TALQ / MQTT) with Machine Learning models to optimize public lighting cycles based on usage patterns.

• • Implementation of strict API governance to ensure backward compatibility and facilitate third-party partner integration.

• • Design of data isolation and security mechanisms to guarantee strict confidentiality between multiple client municipalities on a shared infrastructure.

• • Implementation of critical services using Java 21/24 and Spring Boot 3, leveraging the latest language features (Virtual Threads) to optimize processing throughput.

• • Event-Driven Architecture: Implementation of advanced messaging patterns with RabbitMQ (Transactional Outbox, Dead Letter Queues, Idempotence) to ensure resilience and eventual consistency of urban data.

• • Data Engineering: Advanced data modeling with PostgreSQL, optimization of complex SQL queries, and schema automation using Liquibase.

• • GIS Component (Geographic Information Systems): Integration of spatial data and optimization of geospatial queries for urban asset mapping (PostGIS, spatial datasets).

• • Full automation of deployment pipelines using GitLab CI and Helm charts on Kubernetes clusters.

• • Leadership of end-to-end resolution of complex incidents (Root Cause Analysis), implementation of hotfixes, and definition of testing standards (integration with Testcontainers).

Missions and Responsibilities:

• • End-to-End Project Leadership: Ownership of the full lifecycle, from business requirements gathering to production deployment on AWS.

• • Technology Choices: Definition of the technical stack (Java 17 / Spring AI / Angular) to ensure scalability and long-term maintainability of the system.

• • Establishment of development standards, testing strategy (Unit, Integration, E2E), and architectural documentation.

• • Hexagonal Architecture (Ports & Adapters): Design of a core business domain fully independent from frameworks and databases, improving testability and system evolvability.

• • Distributed System & Workflow: Implementation of a workflow orchestrator for document tracking, leveraging Kafka for asynchronous communication between microservices (ingestion, scanning, extraction, validation).

• • Modern Frontend: Development of a reactive Angular-based UI (TypeScript / SASS) enabling real-time document monitoring and manual validation of AI-driven extractions.

• • Spring AI & GenAI Integration: Use of Spring AI to interface the platform with Vision models, enabling structured data extraction from unstructured documents (invoices, handwritten contracts).

• • Machine Learning & Computer Vision: Training and deployment of complementary models using TensorFlow for automatic document type classification prior to processing.

• • Prompt Engineering Optimization: Design of advanced prompts and Chain-of-Thought mechanisms to maximize OCR accuracy and minimize AI hallucinations.

• • Image Processing: Implementation of image pre-processing pipelines (OpenCV / Python) to improve document readability before AI analysis.

• • Polyglot Persistence: Use of MongoDB for flexible storage of document metadata and AWS S3 for physical file storage.

• • Containerization: Dockerization of all services to ensure full portability and seamless integration across staging environments.

Missions and Responsibilities:

• • Reactive Architecture: Design and development of high-performance microservices using Spring WebFlux (reactive programming) to manage real-time asset allocation simulations.

• • Data Modeling: Design and optimization of complex data models using Oracle 12g and SQL Server, ensuring the integrity of sensitive financial data.

• • Estimation & Impact Analysis: Technical impact analysis and estimation of complex business requirements (Story Point estimation using Planning Poker).

• • Fullstack Development: End-to-end implementation of critical features: secure REST APIs (Spring Boot) and dynamic user interfaces built with Vue.js / TypeScript.

• • Stubbing Expertise: Development and maintenance of a complex simulation application (Mocks / Stubs) built with Node.js to decouple testing phases from third-party service dependencies.

• • Software Quality: Leadership in code reviews (Peer Reviews), integration of SonarQube into CI/CD pipelines to ensure minimal technical debt and high test coverage (TDD).

• • Operational Maintenance (Run): Advanced diagnosis and resolution of critical production incidents, log analysis using Azure Monitor, and deployment of hotfixes.

• • Documentation & Knowledge Transfer: Writing of technical architecture documents (TAD) and flow diagrams to ensure long-term knowledge sustainability.