Teams at CommandLink

Lead architecture and reliability for a high-scale alerting pipeline: evaluate rule- and ML-based detections, ensure end-to-end delivery and idempotency, correlate diverse telemetry into topologies for LLM-driven reasoning, mentor engineers, and drive org-level technical decisions.

Build and operate production ML models for entity resolution, deduplication, and telemetry pattern recognition. Deploy, monitor, and maintain models in streaming pipelines, work with graph databases, reason about networking telemetry, and collaborate with security and observability teams to improve detection, alert quality, and model reliability.

Own architecture and long-term direction of the classification and discovery layer: correlate telemetry into graph topologies, perform entity resolution and deduplication, associate metrics/logs to entities, and drive a streaming-first topology materialization with Memgraph and Kafka.