Telemetry & Diagnostic Data Annotation for ML Systems
Internal Proprietary ToolingComputer Code ProgrammingEntity Ner ClassificationClassification
Worked on annotating and validating structured, time-series telemetry data used to train and evaluate machine learning systems. Tasks included labeling diagnostic states, normal vs anomalous signal patterns, and mapping raw telemetry fields to standardized schemas. Emphasized consistency, data quality checks, and review workflows to ensure annotations were reliable for downstream model training and evaluation.
Worked on annotating and validating structured, time-series telemetry data used to train and evaluate machine learning systems. Tasks included labeling diagnostic states, normal vs anomalous signal patterns, and mapping raw telemetry fields to standardized schemas. Emphasized consistency, data quality checks, and review workflows to ensure annotations were reliable for downstream model training and evaluation.
2019 - 2021