About Me
I am a passionate and driven software engineer with a strong foundation in programming, problem-solving, and innovative thinking. I have experience with various programming languages and technologies, including Java, Python, JavaScript, C, C++, and PL/SQL. My academic journey provided me with a solid understanding of software development principles, algorithms, and data structures. Since graduating, I have worked as a full-stack engineer, where I have been able to apply and further develop my skills in both front-end and back-end development. I am particularly interested in back-end development, machine learning, and deep learning, and I actively pursue personal projects and collaborative efforts to deepen my knowledge and expertise in these areas. With a keen eye for detail and a commitment to excellence, I am always seeking opportunities to learn and grow. I am excited to contribute to innovative projects and help bring impactful solutions to life.
- Python
Django, Flask, FastAPI, TensorFlow, PyTorch, Pandas, NumPy, Scikit-Learn, Machine Learning, Data Analysis, Automation, REST API Development - Java
Spring Boot, Spring Framework, Microservices, Hibernate, JPA, REST API Development, Maven, Keycloak, Kafka, Cloud (AWS, Azure, GCP), Docker, Kubernetes
- Full Stack Engineer at mapIT
Developed and maintained web applications using Java, Spring Boot, Angular, Docker, and Kubernetes. Worked on designing and implementing REST APIs, integrating Keycloak for authentication, and optimizing application performance. - Machine Learning Intern at ASTROLAB Agency
Built a news article classification system using Python, Scikit-Learn, and NLP techniques. Developed models for brain tumor segmentation using deep learning frameworks such as TensorFlow and PyTorch. Conducted data preprocessing and feature engineering. - Software Engineer at Polytech school
Focused on backend development using Java, Spring Boot, and microservices architecture. Designed and implemented scalable and efficient RESTful APIs. Collaborated with cross-functional teams to deliver high-quality software solutions. - Machine Learning Intern at RLANTIS Lab
Worked on computer vision projects, including brain tumor MRI segmentation using a UNET neural network. Trained models on Colab Pro++ and integrated them into a JavaScript platform. Gained experience in deep learning model development, data augmentation, and deployment.
- 2020 - 2023
Private Polytechnic School of Monastir
Engineering Cycle in Computer Science: Software Engineering. - 2018 - 2020
Private Polytechnic School of Monastir
Preparatory Cycle, Physics - Chemistry. - 2012
Said-Boubakir High School - Monastir (Tunisia)
BACCALAUREATE, Mathematics Sciences.
