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Ahmed Eldaw Mohammed Abdelhamed

@Ahmed

ML & Data Engineer | Google DeepMind Scholar | Transitioning to mechanistic interpretability research. Based in Sudan, planning independent AI safety research in Kigali, Rwanda.

https://www.linkedin.com/in/ahmedeldaw/
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About Me

I'm a data and ML engineer with 4+ years of experience building production pipelines and deploying ML systems. I hold a Master's in AI for Science from AIMS South Africa / UCT, fully funded by Google DeepMind (2% acceptance rate), where my thesis focused on context-aware neural networks for the ARC-AGI benchmark. My undergraduate thesis investigated adversarial attacks on neural networks.

I'm currently transitioning into technical AI safety research, specifically mechanistic interpretability with a focus on detecting deceptive behaviors in LLMs. I'm seeking funding to conduct 6 months of independent research in Kigali, Rwanda, as sustained work is not currently possible in Sudan due to active armed conflict.

I have won multiple AI competitions including 1st place at the Build with AI Hackathon (Kigali, 2025) and 1st place at the Qeen.AI Data Science Challenge (Qatar, 2025).

Projects

Mechanistic Interpretability Research on Detecting Deceptive Behaviors in LLMspending grant agreement signature