Core statement
"I use data to identify anomalies and defects, then turn those decisions into verifiable criteria."
My work has three areas.
| Area | Focus | Examples |
|---|---|---|
| Anomaly detection | Finding anomalies and defects in time-series and manufacturing data | UGV communication monitoring at Hanwha Aerospace, SECOM semiconductor data, research on time-series anomaly-detection evaluation |
| Verification and reproducibility | Turning results into reproducible tests and criteria | Evaluation-metric audits, test gates, data-consistency checks |
| Applied AI automation | Putting verified work into operation | KRAFTON AX Forward Deployed Engineer |
English positioning: Machine Learning Engineer who turns anomaly and defect decisions into verifiable criteria. AI Forward Deployed Engineer · putting AI into operations through evaluation and verification.
Currently reading and learning: evaluation design and statistical inference, and operating and verifying agent systems.