AppVelocity

At AppVelocity, I turn AI-driven ideas into production systems. My work covers image analysis, a tool for Figma and web browser that simulates user behavior. Utilising asynchronous processing, payments, and the GCP/GKE infrastructure that keeps everything reliable.

AI systems / 2025 - present

Production AI needs dependable architecture.

The model is only one part of the product. Queues, workers, observable data flows, and predictable failure handling keep long-running tasks from blocking the user experience and makes cost predictable.

Asynchronous workflows

Long-running AI tasks should not make the product feel slow.

I design and develop microservices and gateways that process work in the background, integrate with payment and simulation services, and remain observable from request to result.

Stack

NestJS, React, Spring, Kubernetes, PostgreSQL, GCP/GKE, message queues, Stripe, AI gateways.