[nom]
Freshly Graduated Computer Engineer – Specialization : New Technologies and Security
[e-mail] · [nom] · Portfolio · [nom]
Professional Profile
Machine Learning and MLOps Engineer passionate about AI, Data Science, and building production-ready machine learning solutions. Experienced in developing ML pipelines, deploying models, and building scalable AI applications.
Seeking a Junior Software, Machine Learning, MLOps, or Data Science Engineer opportunity.
Experience
- Graduation Project (PFE) – Wevioo · February–June 2026
End-to-end hybrid Developed a hybrid optimization framework combining heuristics, Behavior Cloning, and PPO
Reinforcement Learning for warehouse optimization.
- Built reproducible MLOps pipelines with ZenML, MLflow, Docker, and CI/CD for training and deployment.
- Awarded 18/20 (High Honors / Mention Très Bien) ; selected among the best graduation projects at ENSIT.
Technologies : PyTorch, OR-Tools, ZenML, MLflow, FastAPI, Streamlit, Docker, GitHub Actions.
- Artificial Intelligence Internship – Insight Plus · June–August 2025 Development of a multilingual chatbot (French / Tunisian) for currency exchange operations.
Technologies : Prompt Engineering, LangChain, LLM, RAG (ChromaDB, OllamaEmbeddings), FastAPI, n8n.
- Web Development Internship – Sagemcom · July–August 2024 Application for managing electronic board test files.
Technologies : Angular, Flask, MongoDB.
Projects
- NLP Project : Fine-Tuning DistilBERT for Emotion Classification Training a Transformer model (DistilBERT) on the dair-ai/emotion dataset.
Technologies : Python, PyTorch, Transformers (HuggingFace), Datasets, Matplotlib.
- MLOps Project : Intelligent Customer Ticket Classification Complete MLOps pipeline using two NLP approaches : Transformer (Hugging Face) and TF-IDF & SVM with CI/CD, monitoring, and an AI agent orchestrating predictions.
Technologies : FastAPI, MLflow, DVC, Docker, GitHub Actions, Prometheus, Grafana, scikit-learn.
- AI Project : Medical RAG Chatbot
A fast, accurate, and private medical information chatbot powered by Retrieval-Augmented Generation (RAG) using medical PDFs.
Technologies : Python, Streamlit, FAISS, LLM API, HuggingFace Sentence Transformers, Langchain.
- DevOps Project : Implementation of a full CI/CD pipeline for a Springboot application with Jenkins, integrating SonarQube for code analysis and ArgoCD for GitOps-based deployment on Kubernetes.
- Medical Web Application with Diabetes Prediction (PFA2) · 2025 – ENSIT Development of a diabetes prediction system using SVM, Random Forest, and Decision Tree models.
Technologies : Angular, SpringBoot, Flask, PostgreSQL.
- Medical Management Mobile Application
Technologies : Ionic, Angular, Flask, MongoDB, SQLite.
Education
- Computer Engineering Degree — National School of Engineering of Tunis (ENSIT) · 2023–2026
- Prep Cycle in Physics–Chemistry — Prep Institute for Engineering Studies of Tunis (IPEIT) · 2021–2023
- Baccalaureate in Experimental Sciences (Honors : Very Good) — Esprit Private High School · 2021
Technical Skills
- AI : Machine Learning, LangChain, NLP, RAG, Prompt • Frontend : Angular, JavaFX, HTML/CSS, Streamlit Engineering, ChromaDB, n8n, Scikit-Learn, Hugging- • Backend : SpringBoot, Flask, FastAPI, ExpressJS, JEE Face · • Databases : MySQL, PostgreSQL, MongoDB
- DevOps : Git, Docker, GitHub Actions, GitLab, Kuber- • Languages : C/C++, Python, JavaScript, TypeScript, netes, Helm, Terraform, ArgoCD, SonarQube, Jenkins · Java
Volunteering : Treasurer – IEEE ENSIT Student Branch 2024–2025
Award : Outstanding Student Branch of the Year (Large Category).
Organization and participation in multiple IEEE events.
