Jul 2024 – Present · 1 yr 11 mos · Remote

• Building the AI engineering platform layer for Turbot Guardrails — a cloud governance product backed by a 162-package monorepo — enabling autonomous agents to operate with deep domain understanding across a complex, production codebase.
• The core problem: enterprise codebases are too large and nuanced for general-purpose AI. I designed the architecture that bridges that gap.
• ▸ Architected a skill and rules system that encodes 20+ domains of institutional knowledge — GraphQL, database patterns, mutation conventions, server architecture, testing — into structured, path-aware context AI agents consume at runtime
• ▸ Shipped autonomous SDLC agents: Slack intake → triage → codebase investigation → draft PR generation → review resolution → merge notifications — running in production, closing the loop without human intervention
• ▸ Integrated AI into CI/CD — orchestrating across GitHub Actions, Claude Code skills, and custom commands to trigger builds, monitor CodePipeline, version, and generate changelogs.
• ▸ Designed a project-workflow system for AI-managed multi-task execution with parallel and sequential coordination.

Jul 2022 – Present · 3 yrs 11 mos · Remote

• Owned the architecture of Turbot Guardrails — an enterprise platform governing millions of cloud resources across AWS, Azure, and GCP. Served as the final escalation point for complex customer issues — diagnosing whether problems stem from platform behavior or tenant configuration.
• ▸ Designed the core data architecture — schema-per-tenant PostgreSQL isolation, hierarchical configuration resolution, zero-downtime migrations across dozens of database modules.
• ▸ Made the system fast — optimized database triggers, parallelized index creation, tuned maintenance workers, and eliminated expensive query patterns across high-traffic API paths to keep response times low as tenant count scaled
• ▸ Made the system reliable — adaptive backpressure to prevent cascade failures under load, concurrency patterns to eliminate deadlocks during bulk operations, and SIEM event ingestion into Splunk and CloudTrail Lake for real-time operational visibility
• ▸ Shaped the engineering platform — plugin ecosystem pipeline publishing thousands of security and compliance checks across AWS, Azure, and GCP, TypeScript migration strategy, and CI/CD infrastructure

Dec 2018 – Jun 2022 · 3 yrs 6 mos · Remote

• Full-stack engineer on the Guardrails core platform — building the subsystems that power access control, task execution, and cloud resource governance across multi-tenant environments.
• ▸ Built the permissions subsystem — a compiled access model resolving roles and scopes across three cloud providers into a unified authorization framework
• ▸ Designed the task execution engine (v2) with priority queue scheduling for manual and automated dispatch with real-time state tracking across tenants
• ▸ Optimized high-traffic API paths through targeted indexing, subquery elimination, and GraphQL resolver batching. Eliminated deadlocks during concurrent bulk operations through parallel-safe database functions.

Sep 2017 – Nov 2018 · 1 yr 2 mos · Remote

• Early team member who lead the governance module ecosystem — the plugin architecture defining how Guardrails discovers, monitors, and enforces policy across cloud resources.
• ▸ Designed template generation frameworks that transformed mod development from manual authoring to scalable code generation across AWS, Azure, and GCP — automating creation of discovery, CMDB, compliance, and encryption controls
• ▸ Authored governance mods across 50+ cloud services and built CIS Benchmark mods (v1) for all three cloud providers, mapping industry security controls to Turbot's policy engine
• ▸ Developed reusable scaffolding packages that became the foundation for cross-cloud mod development