QA/Automation Engineer (8+ years) → MLOps Engineer
I spent 8+ years building test automation for embedded/infotainment systems (Bluetooth, Wi-Fi, OTA validation) — deep experience in CI-style regression testing, reliability, and catching bugs before they ship. I'm now applying that same discipline to ML systems: experiment tracking, automated testing, containerized deployment, and CI/CD pipelines that actually run.
📍 Based in India, actively looking for MLOps roles in the Gulf region (UAE, Saudi Arabia, Qatar, Kuwait).
An end-to-end MLOps pipeline predicting used car prices in the UAE market. Not just a trained model — a full engineering system: MLflow tracking, a leakage-safe pipeline (I found and fixed a real data-leakage bug, then wrote a regression test to prevent it recurring), a tested FastAPI service, and GitHub Actions CI that runs the test suite and builds a Docker image on every push.
The README documents the bug and the fix in detail — I think it's more interesting than the model's accuracy number.
MLOps / ML Engineer roles where reliability and testing discipline matter as much as model performance — which, coming from a QA background, is exactly where I add unusual value.
📬 Let's connect:
Open to relocation across the Gulf region