Led the enhancement of Moogsoft's security platform (SSO, RBAC, SOC II, WAF), crucial for expansion into the financial sector and achieving $1.5M new ARR.

Delivered robust incident management capabilities (situation room, chat, AI-driven similar incident detection) driving 15% above-forecast sales.

Achieved a 64% per-customer cost reduction by re-architecting Moogsoft services for multi-tenancy and optimizing AWS resources.

Led migration to Thanos for timeseries data, introduced PromQL alerting, and redesigned query UI, unblocking Grafana integration.

Facilitated Grafana Infinity datasource integration for Moogsoft APIs, enabling real-time dashboarding for clients.

Built automated provisioning middleware linking sales, marketing, and trial systems, saving an estimated 10% on cloud spend.

Spearheaded adoption of Rust and Vector.dev for Moogsoft's observability collector, enhancing performance and enabling complex customer integrations.

Integrated Looker and Snowflake for embedded analytics in Moogsoft, securing new deals and providing a migration path for legacy users.

Established full CI/CD automation for Moogsoft's SaaS product, enabling multiple daily releases, up from a 6-month cycle.

Led Quarkus framework adoption, enhancing Java development practices, code reuse, and reducing new engineer training burden at Moogsoft.

Transitioned Moogsoft from JavaScript-based customizations to a structured low-code workflow engine, enhancing supportability and code reuse.

Established timeseries analytics for Moogsoft's on-premise product using a Grafana plugin to surface key user and system statistics.

Integrated LDAP and OIDC SSO for Moogsoft's on-premise product, fulfilling key enterprise requirements and enabling sales.

Improved TCO for Moogsoft on-premise customers by simplifying deployments/upgrades via configuration consolidation and automation.