The first project involved defining two RESTful APIs that implemented the Richardson Maturity Model Level 3, incorporating HATEOAS. These APIs were designed as platforms for the secure exchange of legal documents in anti-cartel proceedings.

• Internal API: The first API was intended to serve the internal staff of the European Commission.
• External API: The second API served as a platform for external personnel.

In the second project, I played a pivotal role as the software architect, overseeing the development of a sophisticated system for negotiating confidential versions of legal documentation in anti-cartel proceedings. My contributions were instrumental in establishing and assigning dynamic verification groups responsible for managing online legal processes. These groups, composed of internal personnel, were verified through the Central Authentication Service (CAS), a system previously implemented under my guidance.

I architected the system that governs the status of each document using the Status design pattern, which allows for the reversal of changes, ensuring the integrity and accuracy of legal documents throughout the negotiation process. My expertise ensured that any modifications could be undone, maintaining the documents' fidelity.

Additionally, I selected and integrated Oracle DB and MongoDB as the database engines, capitalizing on their strengths to efficiently manage the project's complex data requirements. I ensured that the implementation followed the Richardson Maturity Model Level 3, incorporating HATEOAS (Hypermedia as the Engine of Application State) principles. This approach guaranteed a robust, scalable system capable of supporting the intricate workflows involved in anti-cartel legal proceedings.

Through my leadership and technical expertise, I significantly enhanced the project's capability to provide a secure, reliable, and user-friendly platform for negotiating sensitive legal documents, thus bolstering the efficacy of anti-cartel enforcement actions. My work as the software architect was crucial in achieving the project's goals and ensuring its success.

The third project, proposed by me, centers around developing a sophisticated system for semantic indexing of legal documents. I acted as the architect for this project, deeply involving myself in the programming process to ensure its success. The project utilizes clustering techniques, specifically the K-Means algorithm, applied to the dataset of legal documents from the anti-cartel department. The indexing process is integrated into a microservice designed with the gRPC framework, implemented in C++14 to ensure maximum efficiency and performance.

The architecture of these microservices follows the Command Query Responsibility Segregation (CQRS) paradigm, deployed on a service pool to guarantee resilience and rapid response times. The semantic search capability is powered by a neural network trained on the anti-cartel legal documents dataset, utilizing the TensorFlow framework. Additionally, I developed a complementary service in Java, which leverages this semantic search tool to enhance its functionality.

This dual-service approach not only facilitates high-speed semantic searches but also ensures robust and scalable indexing of complex legal documents. The system's design emphasizes resilience, efficiency, and accuracy, making it a vital tool for legal document management and retrieval in the anti-cartel department. My initiative and hands-on involvement in both the architecture and programming were crucial to the project's success.

The fourth project involves the development of a renewable energy distribution system within the electrical grid, aiming to normalize and stabilize electric consumption over time to maximize the utilization of renewable energies. I played a significant role in this project, contributing extensively to both its architecture and implementation.

The system integrates a diverse array of technologies to achieve its goals. At the core of the communication system lies a Kafka-based messenger cluster, where communication with devices is managed through Avro schemas. An intermediary "gateway" is implemented using RaspberryPi, responsible for sending telemetry data and receiving commands. This gateway system is developed in Go, utilizing the ModBus communications protocol in both its serial and TCP versions, with TCP communications secured via a VPN.

The software management for this project is handled through the BalenaIO platform, which facilitates the deployment and operation of the gateway devices. Continuous Integration and Continuous Deployment (CI/CD) processes are managed using CircleCI, ensuring a seamless and efficient development workflow.

In addition, I created a statistics parser in Groovy for the ingestion of telemetry data, providing critical insights into energy consumption patterns and system performance. My involvement was pivotal, overseeing the architecture, implementation, and integration of various components to ensure the project's success.

My hands-on approach and technical expertise were instrumental in addressing the challenges of renewable energy distribution. My contribution in leveraging advanced technologies and developing robust communication protocols underscores my significant role in this innovative project aimed at enhancing the stability and efficiency of renewable energy usage within the electrical grid.