MLOps Engineer | Machine Learning Enthusiast | Data Science Engineer

Welcome to my GitHub profile! I'm a passionate MLOps Engineer with 2+ years of experience in building, deploying, and optimizing AI/ML systems. I specialize in bridging the gap between data science and operations to deliver scalable, production-ready solutions. My expertise includes Machine Learning, DevOps, Computer Vision, and NLP.

• MLOps & DevOps: Jenkins, Docker, Kubernetes, AWS, Git, CI/CD Pipelines
• Machine Learning: TensorFlow, PyTorch, Scikit-learn, Computer Vision, NLP, Deep Learning
• Data Engineering: ETL Pipelines, Pandas, SQL, NoSQL Databases
• Programming: Python (Advanced), SQL, Flask, FastAPI
• Tools: Label Studio, Roboflow, Locust, PyTest, JIRA, Confluence

Jul 2023 - Present | Tunis, Tunisia

• Built end-to-end MLOps pipelines for automotive AI projects using Jenkins, achieving 95% accuracy in car part detection and damage assessment.
• Designed CI/CD pipelines to automate testing and deployment, reducing release cycles by 30%.
• Orchestrated containerized ML solutions using Docker and Docker Swarm for improved scalability.
• Deployed RESTful APIs with Flask for seamless integration of AI solutions.
• Fine-tuned and deployed 6+ OCR web services using PaddleOCR, Tesseract, and SURYA OCR engines.
• Enhanced fraud detection in car accident datasets using clustering algorithms and LLM APIs.

Keywords: YOLO, Detectron2, MMDetection, Jenkins, Docker, Flask, OCR, Gemini API, LLaMA Vision Models, Fraud Detection, Automotive AI.

Feb 2023 - May 2023 | Tunis, Tunisia

• Researched and implemented a virtual try-on (VITON) pre-processing pipeline, including DensePose, Human-Parse, and Pose Estimation.
• Contributed to the official VITON GitHub repository, making the pre-processing pipeline a community reference.
• Trained the VITON-HR model on a proprietary dataset of 100,000+ images, outperforming the original model.

Keywords: GANs, DensePose, Pose Estimation, Virtual Try-On, Deep Learning.

Project: VITON Pre-processing Pipeline

Jul 2022 - Oct 2022 | Tunis, Tunisia

• Fine-tuned RNNs, LSTMs, GRUs, and Hugging Face transformers for multilingual NLP tasks.
• Built a Flask-based web service for a multilingual chatbot and containerized it using Docker.
• Optimized model performance, reducing inference time by 20%.

Keywords: NLP, LSTM, GRU, RNN, Flask, Docker.

Project: Multilingual Chatbot

• Computer Science Engineering Degree
  National School of Computer Science, Tunisia (2020 - 2023)

• Preparatory Institute for Engineering Studies
  Preparatory Institute for Engineering Nabeul, Tunisia (2018 - 2020)

• Participated in over 50 machine learning contests on platforms such as Zindi, Antigranular, Trustii.io, Think Onward, CrunchDAO, Solafune, and Kaggle, achieving top 3 finishes in more than 10 contests.
• Certified Kubernetes Application Developer (CKAD) - KodeKloud
• TensorFlow Developer Certification - Coursera
• Professional Data Scientist and Data Analyst Certification - Datacamp
• Machine Learning Scientist with Python Certification - Datacamp

• LinkedIn
• Medium
• Zindi
• Portfolio

Feel free to reach out to me for collaborations, discussions, or just to say hi!

• Email: [email protected]