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Yuxin Xiong

Intern Machine Learning Engineer specializing in LLM reasoning, agents, and deployment

Machine Learning Engineer Intern0 years experienceInternArtificial IntelligenceMachine LearningCloud Computing
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About

AWS AI Lab engineer who deployed a production Chain-of-Thought analytical agent for tabular reasoning, emphasizing grounded tool-constrained workflows with schema-validated intermediate outputs. Built robust evaluation/logging with step-level observability to catch regressions across model versions, and has experience scaling distributed LLM training via Slurm + DeepSpeed/FSDP with checkpointing and failure recovery.

Experience

Machine Learning Engineer InternNexa AI
Applied Scientist InternAmazon Web Services AI Lab

Education

University of California, San Diegomaster, Computer Science (2026)
Shanghai Jiao Tong Universitybachelor, Information Engineering (2024)

Key Strengths

  • Built and deployed production LLM agent with evaluation + logging pipeline
  • Grounding and reliability techniques via tool-constrained reasoning with schema-validated outputs
  • Strong observability: step-level logging of tool usage, errors, and latency across runs/model versions
  • Scales distributed LLM training using Slurm + DeepSpeed/FSDP with checkpointing and failure recovery
  • Systematic model/retrieval/prompt selection using constraints (accuracy/latency/cost) and offline experiments
  • Uses step-level signals to quickly isolate regressions after model updates and prevent error propagation
  • Effective collaboration with domain experts; adapts outputs (concise steps vs full traces) based on stakeholder feedback

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Languages

English

Skills

Large Language Models (LLMs)LLM applicationsModel deploymentLLM inference optimizationONNXMultimodal LLMsOn-device machine learningPyTorchPyTorch Distributed Data Parallel (DDP)Multi-GPU trainingFine-tuning (SFT)Distributed trainingDeepSpeedFully Sharded Data Parallel (FSDP)Slurm