
I’m Elias Navarro. I architect machine‑learning pipelines that segment users into dynamic audiences and power personalized product recommendations in real time. I fine‑tune algorithms to learn from behavior signals—clicks, purchases, and browsing paths—so each suggestion feels bespoke. Off hours, I experiment with recommendation models on open‑source data. I believe truly personal experiences boost engagement and loyalty. My goal is to make every user feel the platform was built just for them.
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