02/07/2025 updated
100 % available
Full Stack Engineer with expertise in Java and Angular
Tunis, Tunisia
Worldwide
Engineering Degree in Computer Science: Software EngineeringFlutterClean Code PrinciplesJava (Programming Language)Artificial IntelligenceData AnalysisAndroid StudioArchitectureAuthenticationsMicrosoft AzureMobile Application DevelopmentCloud ComputingDatabasesContinuous IntegrationData ManagementLinux
Full Stack Development
Expertise in Java technologies and Angular development, specializing in Spring Boot. Proficient in developing scalable RESTful APIs, managing databases (PostgreSQL, NoSQL), and implementing secure authentication workflows (JWT, OAuth2).
Frontend Development
Skilled in frontend development with Angular, focusing on component-based architecture, state management (NgRx), and responsive UI design using modern frameworks.
DevOps Practices
Experienced in DevOps practices, including Docker, Kubernetes, and database migrations with Liquibase. Proven success in AI and data-driven projects, with a strong commitment to clean code and efficient solutions.
Web Technologies
Proficiency in Angular (16, 17) for frontend and Spring Boot, Django, Flask for backend development.
Mobile Development
Experience with Android Studio and Flutter for mobile application development.
Data Management
Skilled in various database technologies including Oracle SQL, MySQL, and PostgreSQL.
Artificial Intelligence
Knowledge of AI tools and libraries such as Scikit-learn, TensorFlow, Keras, Python, and R for machine learning and data analysis tasks.
Cloud Computing
Familiarity with cloud platforms like Microsoft Azure and Google Colab Pro++.
DevOps & CI/CD
Proficient in DevOps tools and practices including Docker, Kubernetes, Vagrant, and VirtualBox.
Testing
Experience with testing frameworks and methodologies including JUnit5, Selenium, SonarQube, TDD, and BDD.
System & Network Administration
Knowledge of various systems and protocols including Linux, Windows Server, Cisco, HyperV, TCP/IP, HTTP/HTTPS.
Expertise in Java technologies and Angular development, specializing in Spring Boot. Proficient in developing scalable RESTful APIs, managing databases (PostgreSQL, NoSQL), and implementing secure authentication workflows (JWT, OAuth2).
Frontend Development
Skilled in frontend development with Angular, focusing on component-based architecture, state management (NgRx), and responsive UI design using modern frameworks.
DevOps Practices
Experienced in DevOps practices, including Docker, Kubernetes, and database migrations with Liquibase. Proven success in AI and data-driven projects, with a strong commitment to clean code and efficient solutions.
Web Technologies
Proficiency in Angular (16, 17) for frontend and Spring Boot, Django, Flask for backend development.
Mobile Development
Experience with Android Studio and Flutter for mobile application development.
Data Management
Skilled in various database technologies including Oracle SQL, MySQL, and PostgreSQL.
Artificial Intelligence
Knowledge of AI tools and libraries such as Scikit-learn, TensorFlow, Keras, Python, and R for machine learning and data analysis tasks.
Cloud Computing
Familiarity with cloud platforms like Microsoft Azure and Google Colab Pro++.
DevOps & CI/CD
Proficient in DevOps tools and practices including Docker, Kubernetes, Vagrant, and VirtualBox.
Testing
Experience with testing frameworks and methodologies including JUnit5, Selenium, SonarQube, TDD, and BDD.
System & Network Administration
Knowledge of various systems and protocols including Linux, Windows Server, Cisco, HyperV, TCP/IP, HTTP/HTTPS.
Experience
Professional experience0 - 5 years
Freelancer since2023
Languages
EnglishFluentFrenchGoodItalianFluent
Project history
Proficient in Spring Boot for building robust backend systems and Angular for creating dynamic, user-centric frontends. Skilled in RESTful API development, database management (postgreSQL/NoSQL), and implementing secure authentication using Keycloak or spring security6. Experienced in DevOps practices with Docker and Kubernetes to ensure efficient deployment and scalability.
Developed and implemented a 3D UNET architecture to segment MRI brain tumor images, achieving enhanced accuracy by incorporating attention-based mechanisms to refine the model's performance. Tools used: Python, TensorFlow, Keras, Colab Pro++, Kaggle API.
Built a news article classification system with various Machine Learning models, achieving optimal accuracy in article categorization. Key technologies used: Python, Scikit-learn, Random Forest, Logistic Regression, NLTK.