Artificial Intelligence
MCP, agent systems, orchestration, and production AI
Well-designed, documented, and versioned interfaces are the foundation for connecting AI systems to enterprise data and business functions. Building on this, I design MCP-based integrations, agent workflows, and production-ready AI architectures that connect LLMs to tools, resources, and APIs in a secure, observable, and operable way. The focus is not on isolated demos, but on real systems: structured tool access, orchestration, governance, and the engineering patterns required to move from copilots to reliable AI automation.
API Engineering
API-first design, implementation, developer portals, and governance
I design and implement future-proof APIs and integration layers for products, platforms, and enterprise systems. The focus is not only on endpoints, but on the full API lifecycle: design-first specifications, robust implementation, high-quality documentation, secure runtime management, and the governance needed to keep APIs consistent and operable over time.
Software Development
Architecture, application development, frontend systems, and engineering practices
I design and build tailored software solutions across backend, frontend, and integration layers — always grounded in clear architecture, maintainable code, and production-ready delivery. The focus is not on isolated technologies, but on building systems that are extensible, reliable, and practical to evolve over time.
Operations & DevOps
DevOps, CI/CD, and workflow automation
I support companies in building and operating modern automation platforms — from CI/CD and infrastructure automation to orchestrated business and system workflows. Using proven tools and methodologies, I make deployments, integrations, and long-running processes reproducible, traceable, scalable, and resilient in production.