21.09.2026 aktualisiert
100 % verfügbar
Software Engineering Student | AI & Machine Learning Enthusiast | Full-Stack Developer
Tunesien
Nur Remote
Bachelor of Science in Software Engineering (in progress)Skills
Künstliche IntelligenzData AnalysisSaasDjangoPythonMachine LearningMongoDBNatural Language ProcessingNode.jsTensorFlowAzure Machine LearningSystem DesignIntegration (Software)Data SciencePyTorch
Artificial Intelligence & Machine Learning
Expertise in designing and implementing predictive models, neural networks, deep learning architectures, and AI pipelines using frameworks such as TensorFlow, Keras, PyTorch, and scikit-learn, with practical applications in NLP, computer vision, and sarcasm detection.
Full-Stack Web Development
Proficiency in building full-stack applications using React, TypeScript, Node.js, Express.js, and MongoDB, including the development of multi-role platforms, SaaS CRM systems, and REST API integrations.
Microservices & Cloud-Native Architecture
Experience in designing and developing Docker-based microservices architectures, including a 12-service recruitment pipeline, with knowledge of PostgreSQL, JWT, and multi-component system design.
Data Science & Data Analysis
Skills in data analysis and visualization using tools such as pandas, numpy, matplotlib, seaborn, plotly, and Tableau, applied to real-world datasets including British Airways customer reviews.
Natural Language Processing
Hands-on experience with NLP techniques including TF-IDF, BERT, RoBERTa, BART, and Hugging Face Transformers for tasks such as sarcasm detection, content summarization, and AI-powered chatbot development.
Computer Vision
Development of real-time computer vision applications using Python, OpenCV, TensorFlow/Keras, and Hugging Face Transformers for face detection, emotion recognition, age and gender classification.
Database Management
Knowledge of relational and non-relational database systems including MongoDB and PostgreSQL, with experience in data handling, API integration, and backend module development.
Programming Languages
Proficiency in Python, Java, JavaScript, TypeScript, and C, applied across a wide range of software engineering and AI/ML projects.
Tools & Development Practices
Familiarity with Git, GitHub, data-driven development, and problem-solving methodologies, supporting collaborative and professional software development workflows.
Expertise in designing and implementing predictive models, neural networks, deep learning architectures, and AI pipelines using frameworks such as TensorFlow, Keras, PyTorch, and scikit-learn, with practical applications in NLP, computer vision, and sarcasm detection.
Full-Stack Web Development
Proficiency in building full-stack applications using React, TypeScript, Node.js, Express.js, and MongoDB, including the development of multi-role platforms, SaaS CRM systems, and REST API integrations.
Microservices & Cloud-Native Architecture
Experience in designing and developing Docker-based microservices architectures, including a 12-service recruitment pipeline, with knowledge of PostgreSQL, JWT, and multi-component system design.
Data Science & Data Analysis
Skills in data analysis and visualization using tools such as pandas, numpy, matplotlib, seaborn, plotly, and Tableau, applied to real-world datasets including British Airways customer reviews.
Natural Language Processing
Hands-on experience with NLP techniques including TF-IDF, BERT, RoBERTa, BART, and Hugging Face Transformers for tasks such as sarcasm detection, content summarization, and AI-powered chatbot development.
Computer Vision
Development of real-time computer vision applications using Python, OpenCV, TensorFlow/Keras, and Hugging Face Transformers for face detection, emotion recognition, age and gender classification.
Database Management
Knowledge of relational and non-relational database systems including MongoDB and PostgreSQL, with experience in data handling, API integration, and backend module development.
Programming Languages
Proficiency in Python, Java, JavaScript, TypeScript, and C, applied across a wide range of software engineering and AI/ML projects.
Tools & Development Practices
Familiarity with Git, GitHub, data-driven development, and problem-solving methodologies, supporting collaborative and professional software development workflows.
Sprachen
GermanGrundkenntnisseEnglishverhandlungssicherFrenchverhandlungssicher
Projekthistorie
Slouma Healthcare Platform: Independently designed and developed a multi-role healthcare management platform connecting patients, doctors, caregivers, and administrators. Features include real-time vital-sign monitoring, secure provider messaging, appointment scheduling, medication tracking, automatic bidirectional relationship synchronization, and multilingual support. Technologies: React, Node.js, Express, MongoDB, JWT, Tailwind CSS, Recharts.
British Airlines Ratings Analysis: Data analysis and visualization using Tableau on a dataset of British Airways customer reviews to uncover key insights into customer satisfaction, service pain points, and overall brand perception. Technologies: nltk, scikit-learn, wordcloud, matplotlib, seaborn, plotly, pandas, numpy.
Facial Detection App: A real-time computer vision application that detects faces, emotions, age, and gender from video streams, combining deep learning, classical ML experimentation, and pretrained transformer models into a unified, scalable face-analysis system. Technologies: Python, TensorFlow/Keras, OpenCV, Hugging Face Transformers, NumPy, Pandas, Scikit-learn, XGBoost.