Nizomiddin Xalilov

I am a backend engineer who ended up in computer vision because the problems in front of me needed both.

My daily work is inside a logistics company serving the US market. The trucks are real, the yard is real, and when a system misfires a driver waits at a closed gate. That constraint shaped how I build: I care less about elegant abstractions than about what happens at 3 a.m. when nobody is watching the dashboard.

Where I am strongest. Django and PostgreSQL for systems that hold operational truth — fleets, assets, contracts, invoices. Python and YOLO/OpenCV when the input is a camera instead of a form. The interesting part is usually where the two meet: a model reads a plate, an API confirms the carrier, a barrier opens.

How I got here. Computer Engineering at Fergana State Technical University, graduating with a 4.5/5.0 GPA. My thesis was a YOLOv5 model for detecting cancer markers in medical scans — work that later received a grant from the Silk Road Health Data Science community. Medical imaging taught me something logistics reinforced: a false negative and a false positive are not the same mistake, and the threshold is a business decision, not a technical one.

What I am working on now. Deepening my systems side — deployment, observability, making sure the thing I built can be handed to someone else. And German, slowly.