Mouhammad Bazzi Profile Picture
Mouhammad Bazzi
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Hi, I am Mouhammad Bazzi

Passionate AI enthusiast and innovator driven by a thirst for challenges. Masters in Artificial Intelligence. Fueling change through cutting-edge technology. Let's redefine what's possible together.

Projects

About Me Learn more about me and my passion for Artificial Intelligence and innovation.

Get to know me!

Hey there! I am Mouhammad Bazzi, a recent graduate with a master's degree in Artificial Intelligence from the Illinois Institute of Technology. With a strong foundation in AI and a background in Applied Mathematics (Specialization in Data Science), acquired through my bachelor's and master's degrees in France, I bring a comprehensive perspective to the field. I have hands-on experience as a data engineer intern and have worked on various deep learning projects, including image inpainting, cancer classification, and fake news detection. My passion for innovation extends beyond AI, as I have also pursued projects that harness wave energy and developed a range of technical skills.

Actively seeking opportunities in Artificial Intelligence or Data Science, I am driven to contribute at a high level and make a positive impact. Let's connect and explore how we can drive innovation together!

Contact

My Skills

Python
TensorFlow
PyTorch
Deep learning
Computer Vision
NLP
Data Mining
R
Web Scrapping
SQL
Scala
Java
GIT
Web Development
Big Data (Hadoop, Pig, Hive)
Problem Solving
Innovative Thinking
Teamwork
Leadership
Communication
Adaptability

Projects Explore some of my projects, from image inpainting to mobile game development and more. Let's dive in and discover the details.

Software Screenshot

Facial Image Inpainting

This project introduces a novel approach to facial image inpainting, leveraging a nested deformable multi-head attention layer (NDMHA). This innovative technique efficiently captures long-term dependencies, resulting in visually appealing and contextually accurate inpainted images.

Case Study
Software Screenshot

Real-time Emotion and Gender Classification

Our project focused on developing a real-time pipeline for gender and emotion classification from live camera feed. To ensure high speed, we implemented a model using only convolutional layers, eliminating the need for feed-forward networks. This approach enabled efficient classification, making it practical for real-world applications.

Case Study
Software Screenshot

Fluffy Cloud - Mobile Game (Unity)

Embark on a whimsical adventure in Fluffy Cloud, a captivating 2D mobile game developed using Unity and C#, where you navigate through enchanting worlds, utilizing lightning-fast reflexes to conquer challenges and discover hidden treasures.

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Software Screenshot

Industrial Dynamics of A.I.

The project aimed to create a comprehensive European database on artificial intelligence, analyzing various aspects such as companies and employees. We collected and cleaned job offers data, discovering valuable structures and rules within the database to gain insights into the AI landscape.

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Additionally, I have worked on several other projects that cover a range of domains and technologies. These include E-commerce website development, mechanism for converting wave energy to electricity, fake news title detection, Java application development, text encoding using Scala, time series analysis using R, and more. If you're interested in learning more about these projects, I would be happy to discuss them with you in private.

Contact Get in touch with me and let's discuss how we can collaborate on exciting opportunities. I look forward to connecting with you!