Yes, you are at the right place; this is my perso github profile! I have a Master degree in Computer Science with a focus on ML. However I also have diverse experience in software engineering, and project management.
This is not a shining and well curated Repo but my personal librairy for project I started for academic purpose
I'm passionate (Someone told me that; that's what one can say when you spend 12 hours per day trying to figure out the right pattern and implementing a solution you'll have to delete the next few days and start a new one because that is not anymore in trend (^-^)) about programming, AI engineering, and like to build impactful applications. My professional experience spans data analysis, full-stack web development, and software architecture. I love to use technology to drive meaningful change.
π‘ My Strengths (The areas I know what I am talking about with moderate ensurance (Yesterday truth is no longer valid today in most of the case)
- Machine Learning & AI: Creating data-driven solutions that mimic human intelligence and optimize workflows.
- Large Language Models (LLMs): Exploring the capabilities of models like GPT to understand and generate human-like text.
- Full-Stack Web Development: Designing and implementing responsive web applications with modern frameworks.
- Data Analysis: Extracting insights from complex datasets using statistical and exploratory methods.
- Software Architecture: Leading the development and deployment of scalable service-oriented applications.
- Languages: Python, PHP, JavaScript, TypeScript, C#, C/C++, Kotlin, Java
- Frameworks: Symfony, Django, Next.js, API Platform, LangChain, RAG
- Libraries: Scikit-learn, Numpy, Pandas, Matplotlib, React, Nest.js, Tailwind
- Databases: MongoDB, MySQL, SQL
- Cloud: Azure, AWS, GCP
- Container Tools: Docker, Kubernetes
- Professional Certifications:
- AI-102, Microsoft Certified: Azure AI Engineer Associate
- Google Engineer Associate
- PL-900, Microsoft Power Platform Fundamental
- AZ-900, Microsoft Azure Fundamental
- AI-900, Microsoft Azure AI Fundamental
- Machine Learning DevOps
- Cloud Computing with GCP
- MLOps Pipeline (Prefect, Great Expectations, MLflow):
Orchestrated data ingestion, automated model training, and deployment. - Jazz Music Generation Model:
Built a generative neural network for creating jazz compositions from MIDI files. - Sign Language Alphabet Classification:
Developed a neural network to classify static images of the sign language alphabet. - Anime Recommendation System:
Implemented collaborative and content-based filtering using machine learning techniques. - Airline Customer Satisfaction & Flight Price Prediction:
Optimized classification and regression models with hyperparameter tuning.
Iβm eager to collaborate on innovative projects and grow with the tech community. Feel free to reach out to me on LinkedIn.
Thank you for visiting my profile. Letβs achieve something amazing together!

