An API can pass a demo and still struggle in production.

While building SachAI, my AI video authenticity platform, a key engineering focus was making long-running analysis jobs reliable—not just getting a successful response.

My production-readiness checklist for .NET applications:

• Validate inputs and return useful, consistent errors. • Check resource ownership and permissions, not only whether a user is logged in. • Move expensive processing into background jobs with progress tracking, timeouts and controlled retries. • Plan for failed or stuck jobs so users have a recovery path. • Review database queries and indexes against the actual workflow. • Add structured logs, health checks and tests for failure scenarios.

In SachAI, I used a .NET API, React, PostgreSQL and Python FastAPI, with Hangfire and FFmpeg for the video-analysis workflow. The goal: make processing easier to follow, diagnose and recover when something goes wrong.

I’m available for C#/ASP.NET Core API development, React + .NET integration, database improvements and debugging existing applications.

Have an API or background job that keeps failing? Message me with the symptoms and expected behavior—we can discuss a focused scope.

Portfolio: https://kiramat-ullah.vercel.app/