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Work Experiences

• Deployed an automated hourly snapshot pipeline with Docker and Kubernetes, integrating asynchronous processing that reduced execution time by 50%, and fully covering 1,000+ cameras' snapshots into Azure.

• Streamlined an NLP-based Keras classifier for imbalanced SCADA alarms at 82% production accuracy.

• Speeded up classifier application to 1 second runtime per HTTP request in Linux Services.

• Developed a DBSCAN anomaly detector to send predictive maintenance alarms for air compressors.

• Anomaly detector reached 70% production F1 score with timeliness of 2 weeks earlier than actual events.

• Applied Joblib on Linux and saved 20% processing time of 12 air compressors' clustering.

• Designed an automated MySQL ETL pipeline with conditional deletion on minutely time series.

• Built the company's first BI sales data platform into both PC and WeChat mini programs.

• Developed multidimensional filtering, groupby & deduplication functions that saved 50% operation time.

Skills Bag

⛓️ LLMs & Agents

Hugging Face, RAG, MCP
Supervised Fine-tuning
Distillation

🪄 Gen AI & ML

🏎️ Automation & CI/CD

☁️ Cloud & Data Platforms

🛢️ Databases & C++

👀 Web & Visualization

Education

• GPA 4.0/4.0
  Conversational AI, Natural Language, Machine Learning, ML in Computational Biology, Data & Visual Analytics, Computing for Data Analysis, Nonparametric Data Analysis, Business Analytics Practicum, Data Analytics in Business