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Daniel Han
Unsloth AI
Co-founder and Chief Scientist at Unsloth AI. Pioneered manually derived mathematical backward-pass GPU kernels in OpenAI Triton, enabling 80% lower VRAM usage and 2-5x faster training speeds for fine-tuning Llama, Mistral, Gemma, and DeepSeek foundation models on single GPUs.
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