Lily AI uses machine learning to extract product attributes using image and text recognition, which improves search performance, thus increasing revenue and reducing churn.

» Focused on improving technical execution across seven globally-distributed engineering teams, identifying gaps and opportunities for improvement, helping teams navigate complex tradeoffs, and driving technology improvements

» Drove an organization-wide initiative to improve service reliability by instilling an observability culture (creating a golden path for monitoring, on-call rotations, postmortems, investigative dashboards, runbooks)

» Collaborated cross-functionally to support finance and IT teams, identified and prioritized cost reduction opportunities, achieved $300k+/yr reduction in cloud spend with a few weeks of part-time effort; created dashboards to categorize spend by team, service, and environment (e.g. R&D vs COGS)

» Created learning communities to facilitate knowledge sharing across the organization (book club, topic-specific Slack channels, Staff+ engineer community, writing internal guides)

Prefect is a modern workflow orchestration framework for data and machine learning engineers, written in Python, with a multitenant SaaS platform.

» Led a team of world-class application and infrastructure engineers through a transformation of system architecture, including GitOps, Google Cloud Security Foundations, observability, reliability, scalability, performance optimization, and on-call incident response processes

» Technical leadership of security and compliance program, prioritizing and implementing security improvements with a focus on streamlining compliance efforts; triaged, investigated, and responded to hundreds of bug bounty reports

» Identified and implemented various cloud cost implementation strategies, resulting in $375k+/yr in reduced and avoided spend

» Contributed to multiple systems written in different languages (Python, Go, TypeScript, Terraform); built a Terraform provider

Coder moves developer workspaces to the cloud. The flagship product manages development workspaces on any containerized infrastructure, including Docker and Kubernetes.

» Built a container-native platform for development environments running on Kubernetes in the cloud (Go, TypeScript, React, Next.js, sysbox)

» Implemented infrastructure improvements for better security (Terraform and Cloud Foundation Toolkit) and lower costs (achieved $150k/yr avoided costs by establishing reseller relationship)

» Collaborated cross-functionally to support other teams, including finance (R&D tax credits and FinOps) and sales (for strategic opportunities requiring Kubernetes and OpenShift expertise)

» Wrote or contributed to various blog posts, including partnerships with third-party vendors such as Tailscale