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Chia-En Lu
Junior AI/ML Systems Engineer specializing in LLM infrastructure and distributed training
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About
Built and shipped a production NMT system translating medical documentation for a rare/low-resource language, tackling data scarcity with retrieval-driven pattern matching plus dictionary/grammar- and LLM-based augmentation and validating quality with a linguistic expert. Also develops agentic LLM workflows with LangChain/LangGraph (including a deep-research style system) and has experience aligning medical AI deployments with clinician-defined risk metrics and human-in-the-loop decision making.
Experience
Education
Key Strengths
- Built and deployed a transformer-based NMT translation system for low-resource medical documentation
- Practical approach to low-data problems using retrieval + dictionary/grammar-driven and LLM-based augmentation
- Production deployment experience with Kubernetes and FastAPI
- Designed agentic workflows using LangChain/LangGraph (including a deep-research style system)
- Strong evaluation mindset: defines inputs/outputs, uses benchmarks/custom tests, prefers deterministic code paths over LLMs for correctness and cost
- RAG/retrieval expertise including metric selection (precision@k, hit rate@k, order-aware) and iterative tuning
- Effective collaboration with non-technical medical stakeholders; aligns model metrics to clinical risk preferences (prioritizing lower false negatives) and human-in-the-loop review
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