AI Solutions & Implementation Engineer
I build agentic tooling, Model Context Protocol (MCP) servers, and developer automation, and I evaluate where AI models and agents break. I pair a long background in technical support, systems troubleshooting, and customer discovery with hands-on applied AI engineering to ship solutions that hold up in real use.
Experience
Evaluate coding and agentic model outputs against structured rubrics, isolate failure modes in multi-step tool use, and write reproducible reports that feed model improvement. [Add one number: tasks reviewed, agreement rate, or rubrics authored.]
Build and publish MCP servers and agent workflow tooling (projects above), end to end: protocol and IPC design, installers, documentation, and CI.
[N] years of customer-facing technical support: diagnosing production issues, running root-cause analysis, owning escalations, and turning recurring problems into documentation and fixes. [Add one number: customers supported, CSAT, or resolution time.]
