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Yurong Luo
Senior Data Scientist/ML Engineer specializing in scalable ML and LLM systems
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About
Built and deployed an end-to-end product that brings a research-paper approach into production for large-scale time-series clustering, with attention to partitioning, latency, and scalability. Also designed a Python-based backend validation service (comparing outputs to database ground truths) and handled production reliability issues by reproducing dataset-specific crashes and hardening corner-case behavior with client-friendly errors.
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Key Strengths
- End-to-end ownership from architecture design through implementation and deployment
- Productionized a research-paper idea into a scalable product (large-scale time series clustering)
- Performance issue investigation via data-flow analysis, module isolation, and experiments
- Designed a backend service to unify many functions with validation against stored ground truths
- Resolved production crash triggered by a specific dataset by identifying corner case and adding robust error handling
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