Turn AI Prototypes Into
Production Systems
AI is no longer a buzzword, it's infrastructure. But most AI systems fail to deliver value in production. Pilots fail. Integrations break. Impact gets lost in execution. I help CTOs, engineering leaders, and product teams close that gap in weeks. Through engineering precision and applied AI expertise, I design, deploy, and scale production-grade systems built for reliability, performance, and measurable business impact.
Experience at Leading Organizations
How I Help
Rapid Prototyping
Build fast. Learn faster. Most AI projects stall because teams invest months building the wrong thing. I work with you to turn ideas into functional prototypes in weeks — validating technical feasibility, product-market fit, and business value before committing to full-scale development.
What This Enables:
➣ Faster validation of AI concepts with working code
➣ Reduced development risk through early testing
➣ Clear proof of feasibility before larger investment
➣ Shorter feedback loops from idea to decisionWorkflows & Agentic Systems
Automation that scales intelligently. AI agents are changing how teams operate, but making them reliable in production requires more than prompts and APIs. I design and implement agentic systems that streamline workflows, automate complex operations, and integrate seamlessly with your existing infrastructure — built for stability, measurability, and scale.
What This Enables:
➣ Reliable, production-grade automation across teams and tools
➣ Smarter decision-making through connected workflows
➣ Reduced manual overhead and faster operational throughput
➣ Scalable systems that evolve with your businessStrategy & Governance
Design the foundation before you scale. Once you know AI works for your use case, the next challenge is scaling it responsibly. I help teams define the technical strategy, governance structure, and performance criteria needed to deploy AI systems that are effective, compliant, and maintainable over the long term.
What This Enables:
➣ Clear technical direction aligned with business priorities
➣ Defined architecture and governance models for scalability
➣ Reduced operational and compliance risks
➣ Engineering-first framework for sustainable growthTraining & Enablement
Build capability, not dependency. Real progress with AI doesn't come from one-off workshops — it comes from teams who can build, deploy, and manage systems themselves. I work directly with technical and product teams to transfer the frameworks, tools, and best practices needed to design and maintain applied AI systems with confidence.
What This Enables:
➣ Teams who can build and scale AI systems independently
➣ Shared understanding between engineering and product functions
➣ Faster experimentation and innovation cycles
➣ Long-term capability that scales beyond a single project
Stuck between prototype and production?
Let's design a path to production-grade AI.
Common Questions About How I Work
I work with technology and product leaders who are building or scaling AI capabilities inside their organizations. That usually means CTOs, engineering leads, or product managers who need an experienced partner to help architect, deploy, or operationalize AI systems that can handle real-world scale. Sometimes I also collaborate with startups or consultancies looking to level up their internal AI infrastructure or automation systems.