Chong Andy Zhou
Machine Learning Engineer | LLM Applications & Time-Series Modeling | Anomaly & Drift Detection
- Role
- Machine Learning Engineer at Splunk
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
Experience
Machine Learning Engineer
Mar 2024 — Present
1.[LLM, Time Series Foundation Model] Built a multi-resolution, LLM, decoder-based time-series foundation model with resolution embeddings, fusion, consistency loss, and calibrated quantile heads, driving Advance-F1 improvement.2.[LLM, Agent Application] Automated alert root-cause analysis with an LLM-agent pipeline that integrates metric correlation, log summarization, and event-timeline reconstruction. Designed structured prompts, retrieval logic, and multi-step reasoning loops, reducing manual investigation time from hours to minutes.3.[Drift Detection, Time Series] Developed a spline-based temporal drift-detection algorithm using LOWESS smoothing, SND deviation scoring, window-level segmentation, and post-processing filters. On-perm released already, driving reducing false-positive drift alerts and improving long-horizon stability across diverse customer KPIs.4.[Anomaly Detection, Time Series] Designed and deployed a multi-stage anomaly thresholding model incorporating seasonal baselines, volatility-adaptive scoring, and hierarchical suppression. Grand Released already.
Education
Worcester Polytechnic Institute
Doctor of Philosophy - PhD, Data Science
2016 — 2019
Southwest University
Bachelor of Engineering (BE), Computer Science
2008 — 2012
Worcester Polytechnic Institute
Master of Science (MS), Data Science
2014 — 2016
Skills
- Python
- Sql
- R
- Java
- Unix
- C
- Statistics
- Oracle
- Hadoop
- Apache Pig
- Xml
- Rhadoop
- Hadoop Streaming
- Programming
- Javascript
- Matlab
- Microsoft Excel
- Microsoft Office
- Mysql
- C++
- Research
- Tensorflow
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