Grounded GEO
A visibility system that helped merchants structure brand facts, machine-readable commerce data, and the signals AI answer engines need to understand a store.
- Remix
- TypeScript
- PostgreSQL
- Shopify GraphQL
Autonomous AI agents, scalable backends, and Shopify systems engineered to remove bottlenecks and keep operating.
Not speculative demos. Real systems built around messy workflows, edge cases, APIs, customers, and commercial outcomes.
A visibility system that helped merchants structure brand facts, machine-readable commerce data, and the signals AI answer engines need to understand a store.
A custom Shopify system handling guest and customer states, free and paid printables, lifetime-access logic, protected downloads, and digital-order fulfillment.
A resale infrastructure concept for fashion brands: automated intake, grading, pricing, shipping, and merchant-controlled resale storefronts in one operating system.
Ongoing ownership of a live skincare storefront—from cart and checkout failure analysis to custom promotion logic, conversion components, and responsive theme systems.
Drag nothing. Keep scrolling.
I design agentic systems that reason across multiple steps, use tools safely, evaluate their own output, and move real operational work forward.
I turn complex workflows into fast, maintainable products with typed interfaces, resilient APIs, observable jobs, and data models designed for change.
I build and repair the difficult parts: custom apps, deep storefront logic, webhooks, digital access, app conflicts, and APIs that survive real commerce.
Architecture starts with the constraint—not with the trend.
Clear contracts across UI, APIs, jobs, and data.
Failures should explain themselves before users do.
Agents get tools, context limits, and verification loops.
I’m Ali Imran, a full-stack engineer working where autonomous AI, backend systems, and complex commerce meet.
I approach client work with a founder’s mindset: question the workflow, expose the failure modes, make the architecture understandable, and ship something that can keep evolving after handoff.
Edge cases belong in architecture, not in apology messages.
Clear risks and decisions beat late “good news” every time.
The system working in production is the actual deliverable.
Have a system everyone says is too complex?