I'm an R&D AI Engineer and PhD student specializing in Adversarial Multi-Agent Reinforcement Learning. I love exploring innovative solutions in artificial intelligence and machine learning to solve real-world challenges.
- Profession: R&D AI Engineer
- Studies: PhD student in Adversarial Multi-Agent Reinforcement Learning
- Institution: College of Computing, UM6P
- Location: Benguerir, Morocco
Passionate about research and development, I strive to bridge theory with practical applications. When I’m not experimenting with new AI models or optimizing algorithms, I enjoy collaborating with the community and contributing to open-source projects.
- Programming: Python
- Machine Learning: Developing practical and educational ML packages
- Optimization: Implementing unconstrained optimization algorithms
- Reinforcement Learning: Focusing on adversarial multi-agent systems
A collection of non-OOP functions for Machine Learning, developed from scratch by young Moroccan AI engineering students. This project emphasizes simplicity and efficiency in ML implementations.
An implementation repository of various unconstrained optimization algorithms used in AI engineering. This project serves as a learning resource for first-year AI engineering students at UM5-ENSIAS.
- Earned recognitions such as Pull Shark and Quickdraw on GitHub.
- Continually pushing the boundaries of both research and practical development in AI.
- LinkedIn: Hamza Ba-mohammed
- Twitter (X): @HamBamX
Feel free to reach out if you'd like to collaborate or learn more about my work!
Working from home