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Yuxin Xiong
Intern Machine Learning Engineer specializing in LLM reasoning, agents, and deployment
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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.
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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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Experience
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Publications
7 publications
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