About
Machine Learning Engineer specializing in LLM fine‑tuning, NLP, and AI evaluation. Hands‑on experience optimizing prompts, training transformer models, and deploying ML solutions.
AI & ML Engineer.
Proven ability to improve model accuracy, streamline pipelines, and translate AI research into practical business impact. Currently advancing expertise through an AI & Machine Learning bootcamp.
- Phone: +212 608319310
- City: Strasbourg, France
- Certifications: Complete AI & ML Certification
- Age: 25
- Degree: Bachelor
- Hobbies: Travel , Gym & Reading
Skills
I'm committed to mastering the latest technologies and overcoming challenges in various skill domains.
Resume
Here's an overview of my accomplishments and experiences thus far.
EDUCATION
ZTM Complete AI & Machine Learning Bootcamp
Apr 2025 - Sep 2025
Zero to Mastery Academy
- Classification: Heart disease prediction; feature engineering, preprocessing, model evaluation (~87% accuracy).
- Regression: Predictive models on tabular datasets; learned hyperparameter tuning, RMSE, R² metrics
- Deep Learning: Built neural networks with TensorFlow/PyTorch on structured and unstructured data
- ML workflows mastered: EDA, data cleaning, feature engineering, model training, evaluation, deployment
Associate's degree in Web Development
May 2024 - Jan 2025
STUDI
- Designed and implemented responsive web and mobile interfaces (UI/UX)
- Developed dynamic front-end features using modern web technologies
- Built relational databases and components for SQL & NoSQL data access
- Developed server-side business logic and backend components
- Gained hands-on experience with GitHub, AWS, front-end and back-end development
ZTM Full-Stack Web Development Bootcamp
Jan 2021 - Dec 2021
Zero to Mastery Academy
- Completed intensive full-stack curriculum: HTML, CSS, JavaScript, Python, and SQL
- Developed dynamic front-end features using modern web technologies
- Gained hands-on experience with APIs, databases, and deployment workflows
- Learned best practices for clean, maintainable, and responsive web applications
- Gained hands-on experience with GitHub, AWS, front-end and back-end development
Scientific Baccalaureate
2017 - 2018
Ibn abdoun College
- Mastery of computer science concepts and fundamental principles.
- Ability for technological watch and self-learning.
- Strong collaborative work skills.
- Proficiency in oral and written communication
- Ability for written and oral expression in both English and French.
WORK EXPERIENCE
AI Trainer
Oct 2025 - Present
Invisible Technologies - Freelancer
- Train and validate AI and LLM outputs to improve model accuracy, reasoning, and factuality.
- Create, review, and refine high-quality datasets for supervised and RLHF (Reinforcement Learning from Human Feedback) pipelines.
- Evaluate AI responses across diverse topics, ensuring alignment with human standards and ethical guidelines.
- Collaborate with cross-functional teams to identify model weaknesses and implement targeted improvements.
- Apply data analysis and prompt optimization to enhance model understanding and reliability.
- Collaborate remotely with global teams to maintain consistency, precision, and measurable performance gains.
AI Model Trainer
Nov 2024 - Sep 2025
Outlier - Freelancer
- Enhance ML model performance through evaluation, data annotation, and training.
- Apply data-driven insights to continuously improve AI systems./li>
- Passionate about real-world AI solutions with measurable impact.
- Open to collaboration on innovative projects demanding accuracy and creativity.
Projects
Here is a list of the projects i've worked on so far !
Built a heart disease classification model in Python using scikit-learn. Conducted EDA on the Cleveland dataset, cleaned and encoded data, then trained Logistic Regression and Random Forest models—achieving about 87% accuracy with Random Forest. Model performance was validated using accuracy score, confusion matrix, and classification report. Deployed the model locally and tested predictions.
Developed a regression model using scikit-learn to predict used bulldozer prices based on historical sales data. Performed extensive EDA, cleaned and encoded features, and engineered time-based variables for better trend capture. Trained and optimized multiple models, with Random Forest delivering the best performance in predicting sale prices accurately.
Built a deep-learning image-classification model in Python (using TensorFlow/Keras) to identify dog breeds from photo inputs. Performed dataset preparation (image loading, resizing, normalization), applied transfer-learning, trained a convolutional neural network, and achieved high predictive accuracy on unseen images — including real-world testing on custom dog photos..
Testimonials
Mohamed is one of the best students I've had the pleasure of mentoring during his web developer bachelor's program at OpenClassrooms. He has successfully adapted to various challenges and overcome all obstacles to excel in his projects by delivering high-quality work. Independent, rigorous, and a good communicator, Mohamed is a skilled developer, passionate, who has demonstrated all his qualities throughout his progress in the program. Furthermore, he possesses genuine human qualities that make him always ready to help others and take initiatives. It is for all these qualities that I recommend Mohamed!
