AI/ML Telemetry Data Annotation & Diagnostics Project
Worked on AI-assisted observability and diagnostics systems for large-scale distributed cloud environments at AWS. Contributed to telemetry data analysis, anomaly labeling, signal correlation, and ML-assisted diagnostics workflows using large-scale logs, metrics, and traces. Supported data quality validation, feature tagging, and operational event classification for real-time analytics and anomaly detection systems processing billions of events per day. Collaborated with engineering and ML teams to improve data consistency, monitoring accuracy, and production reliability for cloud infrastructure systems.