Rob Klouda

Rob Klouda

AI Infrastructure · 3PL Fulfillment Systems · Platform Operations

I design AI systems that work inside real fulfillment infrastructure, where orders, inventory, carriers, and support workflows must stay in sync across multiple systems.

Across 7+ years in startup environments, I have worked with broad cross-functional ownership across Shopify, Amazon, warehouses, carriers, and support tooling. My focus is building the context layer that makes AI useful in real operations.

AI-ready operational context. I build MCP servers, retrieval layers, and knowledge structures that connect LLMs to real support and fulfillment systems, so teams can investigate issues with full context.

Recent build: MCP support toolkit connecting LLM workflows to ticketing, order, inventory, and tracking systems, reducing investigation time by ~70-80%.

Integration reliability across sales channels. I have diagnosed recurring failures in order sync, fulfillment updates, and tracking push across Shopify, Amazon, Walmart, eBay, and related channel integrations.

Systems view: most failures happen at integration boundaries between channel APIs, fulfillment logic, and carrier events, not in one isolated screen.

Startup execution with multi-role ownership. I regularly bridge support, operations, product, and engineering to convert repeated incidents into architecture and workflow improvements.

70-80%
Reduction in
investigation time
10+
Channel integrations
diagnosed
7+
Years in startup
operations systems
900+
Jira issues analyzed
for root cause

I use AI coding and data tooling to move quickly from concept to reliable prototypes, with strong focus on retrieval quality and operational correctness.

Python PostgreSQL pgvector MCP Claude Code Cursor Codex Docker Cloudflare Workers

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