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.

My Services

web api

Back-End development

Languages:Java, Python, C++, C


Skills:Building robust and scalable server-side applications, RESTful API development, microservices architecture, performance optimization

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artificiel intelligence

Machine Learning & Deep Learning

Languages: Python, R


Skills: Data Preprocessing, Model Training, Model Deployment

Frameworks&Tools tensorflow, PyTorch, SciKit-learn

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mobile development

Mobile Development

Platforms: Android Dtudio, Flatter

Skills: Cross-platform App Development

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database

Database Management

Databases: MySQL, OracleSQL, PostgreSQL, MongoDB, SQLite, Firebase


Skills: Database Design, Query Optimization, Backup & Recovery

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devops

DevOps

Tools: Docker, Kubernetes, Jenkins, Git

Skills: CI/CD Pipelines, Infrastructure as Code, Monitoring & Logging

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cloud

Cloud Computing

Platform: Microsoft Azure

Skills: Cloud Architecture Design, Deployment & Management, Serverless Computing

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learn

learn With Me

Medium Blogs:


Access my curated blog posts summarizing key insights from books I've read and tricks I've learned.


  • Book Summaries: Condensed insights and takeaways from the latest and most influential tech books.


  • Tech Tips: Practical tips and tricks across various domains like coding best practices, development tools, and more.


  • Learning Resource: Recommendations for courses, articles, and tutorials to enhance your knowledge.


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My Work

Natural language preprocessing

Arabic tweets classification into negatives/posives ones using machine learning algorithms

Online e-commence shop

Back-end with Microservices architecture developed using SpringBoot

Brain Tumor Segmentation

Plateform for Deep learning for brain tumor segmentation

Multithreading vs Multiprocessing

A Tool that helps users compare the performance and understand the trade-offs between these concurrent and parallel programming techniques.

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Contact Me

azzouz.saoussen2712@gmail.com

+216 58 070 777

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