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π Location: Cameroon
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π Current Role: AI Engineer
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π§ Specialization: Deep Learning, Machine Learning, Mathematics
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π Bio:
I'm an AI Engineer passionate about pushing the boundaries of what's possible with deep learning and mathematics. I love building innovative solutions that solve real-world problems and exploring the fascinating intersection of theory and practice in AI.
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π Fun Fact:
When I'm not training neural networks, I'm probably sketching out mathematical proofs or brainstorming the next cool AI project!
Deep Learning | Machine Learning | Computer Vision | NLP | Mathematical Optimization | Neural Architecture | MLOps
Built neural networks from first principles using pure mathematics and NumPy to understand the fundamentals
π GitHub Repo
Advanced object detection and image segmentation using state-of-the-art deep learning architectures
π GitHub Repo
Custom implementations of ML algorithms with detailed mathematical derivations and visualizations
π GitHub Repo
π Notable Achievement: Published research on novel neural network architectures for resource-constrained environments
π― Advanced Topics:
- Transformer architectures and attention mechanisms
- Reinforcement learning from human feedback (RLHF)
- Geometric deep learning
- Quantum machine learning fundamentals
π¬ Open to Collaborate On:
- Deep learning research projects
- AI/ML applications for social impact
- Open-source ML frameworks
- Mathematical optimization problems
π¬ Ask Me About:
- Deep learning architectures (CNNs, RNNs, Transformers)
- Mathematical foundations of ML
- Model optimization and deployment
- Computer vision and NLP
π¨ Hobbies/Interests:
- Mathematical puzzles and proofs
- Reading AI research papers
- Building experimental AI projects
- Exploring the philosophy of intelligence
"In the world of AI, mathematics is the language, data is the medium, and deep learning is the art." β The Real Gita
"The only way to do great work is to love what you do." β Steve Jobs
"Mathematics is the music of reason." β James Joseph Sylvester


