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During my postdoc at MIT, I reduced model training time by 40% — a result directly applicable to the scalability challenges outlined in your recent NeurIPS paper.
I am proficient in distributed systems, as demonstrated by leading the infrastructure migration that handled 3× peak load. I am also familiar with various machine learning techniques in production environments.
Your work on sparse attention in “EfficientLLM” aligns directly with my dissertation, and I would bring both the theoretical grounding and implementation experience your team needs.
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支持 PDF、DOCX，也可以直接粘贴文本。我们会自动提取你的经历。
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