Sign in
Damian Galarza
\# Damian Galarza
Damian Galarza is a software engineering and AI systems expert with more than 15 years of experience building production-grade technology products and helping engineering teams deliver scalable solutions. He is best known for helping technical founders and product teams cut through the noise around AI adoption and focus on practical systems that improve workflows, speed up development, and ship reliably in production.
Damian specializes in AI agent architecture, production AI engineering, and developer tooling. He has worked with startups and growing technology companies to evaluate and implement large language model solutions, troubleshoot stalled AI initiatives, and integrate tools like Claude Code into modern engineering workflows. His work helps teams move from experimentation to execution with clearer technical direction and fewer costly mistakes.
Most recently, Damian has served as a fractional CTO, guiding organizations through AI integration strategies and helping engineering teams adapt their processes for the next generation of software development. Known for his practical and direct approach, he focuses on building systems that are maintainable, effective, and aligned with real business goals rather than hype-driven trends.
Damian brings a combination of hands-on engineering expertise and strategic leadership to organizations looking to build smarter with AI.
- Session rate
- $750 per 1-hour session
Expert profile
Fractional CTO; AI agent architecture and developer tooling
What this session is built for
Bring a concrete AI workflow, decision, or implementation challenge. This session is designed for focused diagnosis, practical options, and next steps you can use immediately.
Book sessionSign in to bookExample questions you might ask
- What separates the AI tools my team will actually use from the ones that get abandoned?
- How do we measure ROI on AI investments that do not have clear baselines?
- Where should we start with a 90-day AI pilot in a core business function?
- How do we evaluate AI vendors when our requirements are still emerging?