Proof of Work

TigerData formerly Timescale

Started as an engineer during the observability wave and grew into product leadership across migrations, Livesync/Connectors, and data movement.

• Senior Product Manager IIFeb 2026 – Present
• Senior Product Manager IFeb 2025 – Feb 2026
• Product ManagerFeb 2023 – Feb 2025
• Associate Product ManagerJan 2022 – Feb 2023
• EngineerNov 2020 – Jan 2022

• Observability foundation (Engineer): Built Tobs (The Observability Stack), a one-command Helm deployment for a full o11y stack on TimescaleDB across self-hosted and cloud.
• Promscale core work: Built and scaled long-term metrics and traces storage with Prometheus remote write and OpenTelemetry exporters to make Kubernetes observability reliable in production.
• Self-serve cloud (APM/PM): Ran onboarding experiments and product hypotheses to improve activation metrics incrementally.
• Migration outcomes (PM): Owned PostgreSQL/TimescaleDB → Tiger Cloud migrations, driving ~70% success despite highly variable source DB constraints.
• Livesync/Connectors evolution (Sr PM): Evolved migration into a parallel-run model so customers could mirror from source PostgreSQL, validate safely, and cut over when ready.
• Current scope (Sr PM II): Leading Connectors and Data Movement (inbound + outbound sync): PostgreSQL, S3, Kafka, and now native Iceberg sync for data lake workflows.

OpenTelemetry Operator

Helped shape how observability gets deployed in Kubernetes. If you've used the OTel Operator, you've probably run my code.

Aqua Security

Engineer on the Image Scanner that tears apart container images to show you exactly what's inside - dependencies, vulnerabilities, the works.

• Developed the first version of KubeEnforcer - deployed as a DaemonSet to scan images in real-time, run nightly Kube-bench and penetration tests.
• Built admission controllers with custom rules to prevent noisy neighbor problems. No resource limits? Blocked. Sketchy image? Blocked. Kept clusters secure and compliant.

The Linux Foundation

Developed an Open Policy Agent (OPA) MongoDB data-filtering service. It translates Rego policies into equivalent MongoDB queries so policy-based filtering works on data stored in MongoDB. Making policy enforcement actually work with real databases.

The Linux Foundation

Built a gRPC-based storage plugin for Cortex - a distributed, multi-tenant, long-term storage system for metrics. Because someone had to make metrics storage actually scale.

Google Summer of Code

Built a kubectl plugin for Zalando's Postgres Operator. Basically kubectl but for Postgres CRDs - get, scale, manage databases with familiar commands. Made managing Postgres in K8s less painful.

OpenText

Focused on improving delivery speed and platform reliability across frontend and backend systems.

• Reduced npm build sizes to improve frontend build performance.
• Upgraded Angular versions and handled migration/compatibility fixes.
• Containerized services with Docker to standardize development and deployment workflows.
• Built backend APIs with Spring + Java for core product use cases.