Muhammad Fawi is a Senior Data Scientist based in Berlin with over seven years of experience building AI-driven products and research-led solutions across healthcare, search, and fraud detection. He has founded and led a startup data science team, shipping production ML services (Docker/EC2) and advanced features like graph-embedding search with LSH, learning-to-rank, and reinforcement learning for value-driven exploration. His research pursuits span mitigating catastrophic forgetting in LLM fine-tuning and deep learning for cancer diagnostics, and he publishes and shares tutorials on his site MinimaTech. Comfortable from Bayesian hierarchical models to PyTorch-based deep learning and RAG/QLoRA fine-tuning, he blends strong mathematical instincts with pragmatic engineering. An early-career pharmaceutical background and hands-on sales analytics experience give him uncommon domain empathy for applied ML in regulated industries.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Pharmaceutical Sciences, Bachelor's degree Pharmaceutical Sciences at Helwan University Cairo
Contributions:20 commits, 19 pushes, 1 branch in 3 years 2 months
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