Austin, Texas, United States
Worked on the core observability platform team, focused on telemetry ingestion pipelines, alerting
infrastructure, and AI-assisted operational tooling.
Built a Kafka-to-ClickHouse streaming pipeline for OTel metrics ingestion that reduced query response times
by 35%. Extended the AlertStack anomaly detection service with seasonal baseline modeling, improving alert
precision by 28% and reducing noise for on-call teams.
Designed and shipped a RAG-based AI runbook assistant integrated with the Service Desk, pulling context
from historical incident data and runbook documentation through a vector database. This brought incident
MTTR down by 40% across the teams that adopted it.
Contributed backend API work in Go and Java, with telemetry instrumentation using OTel SDKs across
distributed services. All development followed Secure by Design practices aligned with NIST SSDF
requirements.
