About

I'm Lazizbek Ravshanov. Founder and AI/ML engineer, originally from Uzbekistan, based in the US. I'm building Flowtrate, a rate intelligence platform closing the information gap between freight brokers and trucking carriers — giving owner-operators and small fleets the pricing data they need to negotiate fair rates in a $900 billion industry.

Before Flowtrate, my work in transportation and public safety produced several deployed systems: algorithmic detection of fraudulent carrier rebranding across 4.4M federal records (FleetSight), automated crash detection from live DOT highway camera feeds (ACRAS), LLM-powered diagnostics for commercial vehicle maintenance (ShopMule), and behavioral analytics for early academic disengagement detection (maintAIn — 3rd place, Education Track, IBM SkillsBuild AI Hackathon at Ohio State University).

I write here about what I find in my research — the approaches that work, the ones that don't, and the ideas worth examining carefully. If you want to reach me: X, GitHub, LinkedIn, Instagram.