Solutions engineering for AI, agent, and automation platforms.
Built on seven years operating the customer side of a configurable, multi-SKU B2B product line — the kind of context where the technical answer and the customer reality have to meet in the middle. I translate complex workflows into clear technical systems, usable demos, and adoption-ready tooling that customers actually run.
Two halves of the job most SE roles separate.
Integration engineer
Python, n8n, custom Odoo modules, REST/webhook architecture. Agentic workflows on Claude and local inference (Ollama), with MCP, structured prompts, and tool design. The hands-on build half — what gets shipped, instrumented, and handed off.
Operator who's lived inside the workflows
Seven years running brand, product marketing, sales enablement, and CRM/ERP workflows for a configurable furniture line across ~200 active retailer accounts. Discovery with non-technical stakeholders, demo storytelling for multi-SKU products, and the field-level instinct for what reps and customers will actually use. The half that decides whether the integration gets adopted.
Most SEs have one of these. The combination is why my demos land and my integrations stay deployed after the handoff.
Selected work
Building a Four-Agent 3D Production Pipeline in Blender
Unified Upholstery Knowledge-base Solutions Discovery
Scaling Product Familiarity with Video
A GTM Strategy to Drive Upsell Limited Releases
Cutting Costs and Complexity: A Custom Odoo Locator
Driving Custom Orders with a Strategic Catalog Overhaul
Currently building.
Internal-operations automation
An internal-operations automation system for a marketing RevOps engagement — n8n orchestration across Slack, Google Workspace, and human-in-the-loop handoffs. Discovery, integration architecture, build, and operator handoff, applied to internal customers instead of external ones.
Self-hosted hyperlocal media platform
A self-hosted hyperlocal media platform with an agentic content pipeline. Self-hosted Ghost on a small VPS, local inference for drafting, structured workflows for extraction, classification, and approval. Active build.
Currently focused on
the gap between AI / agent / automation systems that ship and the ones that actually get adopted by the teams who run them. Always open to a conversation about the work, the tooling, or the spaces in between.