I operate where technical direction and implementation meet. My background spans Amazon, Snap, and Docker, leading teams and shipping systems across developer productivity, AI tooling, security, and low-latency infrastructure.
I work directly on hard problems with teams that need both clarity and execution. Engagements are selective and focused on high-leverage outcomes.
This is a strong fit for companies that need a technical leader who can evaluate architecture, unblock delivery, raise engineering leverage, and still contribute at the implementation level. The throughline in my work has been increasing developer velocity without sacrificing system quality, security, or operational clarity.
I have led teams focused on developer productivity and internal platform capabilities, with particular depth from Snap and Docker. That includes tooling, workflows, platform ergonomics, and the practical systems that help engineering organizations move faster.
I lead work at the frontier of AI-driven development, including AI tools, secure enablement, and MCP platform capabilities. I can help teams move from interest in AI to durable, high-signal implementation.
I have spent years in engineering management, but I am not removed from the work. I can operate at the system, architecture, and code level, especially in backend systems, cloud infrastructure, platform design, and performance-sensitive services.
My background includes low-latency systems, data collection pipelines, bandwidth-constrained transmission, and optimization work where efficiency, reliability, and operational tradeoffs matter.
My experience ranges from highly scaled consumer and platform environments to work that required discretion, performance tuning, and novel system design. I have worked on well-known products as well as projects that were confidential at the time.
Leading teams and initiatives around AI-driven development, secure enablement, and platform capabilities at the edge of how modern software organizations build.
Focused on the systems, tooling, and platform investments that improve the daily effectiveness of engineering teams and reduce friction at scale.
Worked on Amazon Instant Video and Amazon Go during its confidential phase, with experience spanning product delivery, data systems, latency-sensitive architecture, and operational execution.
For consulting, advisory work, or technical leadership engagements, reach out directly. This practice is intentionally selective.
Tuna Labs LLC is registered in Washington State via registered agent (Spokane address). Primary operations based in Seattle.
