As a Full Stack Developer at TheCodeLives, I handle frontend development with Angular, leveraging reactive behaviour with RxJS. I also develop backend functionalities using Python and NodeJS, and I troubleshoot and resolve issues across both frontend and backend services to ensure seamless performance and functionality.
As a Full Stack Developer at Deimos Space, I contributed to frontend development with Angular and reactive libraries like RxJS, while building backend functionalities using the Spring Java framework. I deployed applications with Docker and effectively resolved bugs and issues across both frontend and backend services, enhancing system stability and performance.
As a Cloud Support Engineer Intern at Accenture, I developed and implemented automation solutions in cloud infrastructures using Azure and Ansible, optimizing network performance and data collection. I created interactive scripts to streamline the massive gathering of information from customer databases, enhancing operational efficiency and network management within Accenture's cloud environment.
This self-hosted TrueNAS setup is configured to store and organize images, videos, and documents through Docker containers. It also manages a home IoT ecosystem and sends real-time alerts via Telegram, providing centralized and secure control over storage and home automation
This web app, developed as my final degree project, was designed to streamline hospital care management. The frontend was built using Angular, while the backend was developed with Spring Boot in Java. Deployed in Docker, the app utilized MariaDB and MongoDB for database management. The platform provided an intuitive interface for patients, healthcare professionals, and administrators to manage their respective information efficiently, ensuring seamless interaction and data organization across different user roles.
This project focuses on enhancing an automated irrigation system for my home while providing an opportunity to learn about device communication. ESP32 devices collect data, which is sent via MQTT to a publisher/subscriber system. The frontend is built with Angular 17, while the backend uses Python and FastAPI. All services are containerized and deployed with Docker, ensuring an efficient and scalable architecture for real-time data management and system control.
