Software, cloud, infrastructure, and engineering leadership.
Seattle-based · AI-native infrastructure and platform engineering
Sharper systems, faster teams, lower cloud drag.
Tuna Labs helps startups and product teams tighten AI infrastructure, improve developer experience, and reduce AWS and GCP waste with principal-level technical leadership that actually ships.
High-scale product, platform, and developer tooling experience.
The hard intersection of modern AI work, platform quality, and team leverage.
Less waste, cleaner architecture, and systems people can trust.
Focus
High-leverage technical work with a more intentional face.
Best suited for complex technical work where architecture, platform quality, and execution discipline all matter at the same time.
01
AI-native and AI team leadership
I’ve led AI-focused work and teams, and I understand the infrastructure, tooling, and operational realities behind AI-native engineering.
02
DevEx and developer productivity
CI/CD, build systems, platform ergonomics, internal leverage, and the messy details that either speed teams up or quietly grind them down.
03
Technical leadership with engineering depth
I lead high-output technical teams and still operate directly in architecture, systems, infrastructure, and implementation when needed.
04
Cloud cost and reliability
I know AWS and GCP well, and I know how to reduce spend, improve reliability, and unwind expensive infrastructure choices.
Offerings
Precise help for infrastructure and execution problems that have gotten expensive.
Scoped, practical engagements for teams dealing with platform drag, AI complexity, cloud bloat, or a gap in technical leadership.
AI infrastructure
CI/CD modernization
Developer productivity
Internal platforms
DevEx strategy
Kubernetes platform engineering
Golden paths
Self-service infrastructure
Container security
Build speed improvements
AWS cost reduction
GCP cost reduction
Reliability improvements
Approach
The work usually starts with signal, not ceremony.
The work is direct: understand the bottlenecks, fix the leverage points, and leave the team with stronger defaults than it started with.
01
Find the drag
Identify what is slowing execution, wasting spend, or making the team distrust its own systems.
02
Fix the leverage points
Improve the architecture, workflows, or platform surface area that changes the trajectory the fastest.
03
Leave the team stronger
Better defaults, cleaner systems, and more momentum for the engineers who stay after the engagement ends.
Common situations
- AI work is moving fast, but the platform underneath it is weak
- Developer productivity problems are slowing delivery
- Infrastructure is expensive, messy, or hard to trust
- You need principal-level judgment without a full-time hire
Relevant background
- 15+ years in software, cloud, and infrastructure
- Amazon, Snap, and Docker experience
- Manager and builder, not one or the other
- Strong AWS and GCP depth with platform instincts
Contact
If the systems are getting heavier while execution gets slower, email is the fastest path.
If you need help with AI infrastructure, DevEx, developer productivity, cloud cost reduction, or reliability, reach out directly at hello@tunalabs.ai.