I'm Francisco Romaldo — a machine learning engineer and applied statistician based in Chicago.

My work sits at the intersection of statistical theory and production systems. I’ve spent the last decade building ML in environments where the math has to work and the code has to ship: embedded microcontrollers with 512 kB of memory, real-time sensor pipelines for autonomous vehicles, and two-sided marketplace models at Lyft scale.

Currently I’m a Staff ML Engineer at Lyft, working on marketplace optimisation — price elasticity, incentive targeting, driver supply forecasting, and graph-based lookalike models over the Lyft ride network. This work powers Lyft Ads.

Before that I was at Renesas Electronics / Reality AI deploying compressed neural networks (INT8 quantisation, low-rank factorisation) onto automotive-grade hardware. And before that, BCG and Deloitte, building production C++ inference pipelines for industrial clients.

You can find my blog here : https://franciscormendes.github.io/ LinkedIn : https://www.linkedin.com/in/franciscormendes/