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Researcher

Nauan Darkhan

LLM evaluation · AI infrastructure · Robotics

Nauan Darkhan

Nauan works on LLM evaluation, AI infrastructure, and robotics. A software engineering student at Wuhan University, he builds grounded code-intelligence tools and studies the memory constraints of language-model inference on consumer hardware.

Research interests

  • LLM evaluation
  • AI infrastructure
  • Quantization
  • Robotics

Education

  • BEng in Software Engineering at Wuhan University — in progress, class of 2030.
  • Foundation year in engineering at Xi’an Jiaotong University, 2025–2026, with Chinese-medium instruction.

Selected experience

  • Builds codelore, a grounded code-intelligence tool using syntax trees, semantic summaries, and import-graph analysis.
  • Studies memory bandwidth and quantization constraints in LLM inference on consumer hardware; results remain preliminary.
  • Machine Learning Engineer at Top MD Health, July–September 2026, preparing multilingual speech datasets and tools for ASR and retrieval systems.
  • Founded and captained a robotics team that placed second at the FTC Central Asian Regional.

Research projects

codelore

Nauan Darkhan

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