Promoted from Senior Director of Engineering to lead the company's AI-first transformation across engineering, operations, customer support, and fulfillment.
- Lead the engineering organization as the company's senior-most technology executive, reporting directly to the COO.
- Present technology and AI-transformation progress weekly to company leadership, from VPs and the C-suite to the CEO/founder.
- Established company-wide AI usage and governance policies while maintaining SOC 2 Type II and ISO 27001 compliance.
- Transitioned engineering to an AI-first organization: the majority of development is executed by AI agents under the direction of 3 engineers, down from 15 (an 80% reduction), shipping roughly twice the merged-PR and feature throughput of the larger team; moving the work directly under the people with the product vision eliminates layers of handoff and delivers faster iteration with fewer escaped defects.
- Scaled the AI support platform to real-time voice: agents resolve inquiries and automate call handling end to end, reducing headcount needs across operations and customer support.
- Gate agent quality with LLM-as-judge evaluation suites and a supervisor agent for continuous AI observability; A/B test agent and model changes across hosted and quantized local models with staged rollouts and live traffic splits.
- Built an AIOps harness for agentic incident response: agents monitor Datadog for production issues, diagnose root causes, propose fixes as pull requests, and report each investigation into Discord.
- Cut projected annual infrastructure spend 50%, with AI agents driving resource consolidation and ECS container-placement optimization.
- Stack: TypeScript, Node.js, Python, AWS, GCP, Azure, Kubernetes, Terraform, GitHub Actions, LangChain/MCP.







