Rodrigo Lavín is a pragmatic software engineer with 11 years of experience building scalable distributed systems and ML platform infrastructure across startups and major tech companies. Currently on Snap’s ML Platform team after a brief stint at Google, he has driven production systems at Amazon and led engineering at ByPrice where he designed a near-real-time data ingestion engine tracking tens of millions of product prices by geolocation. Comfortable moving between greenfield startup problems and large-scale operational challenges, he focuses on shipping reliable, production-ready solutions that bridge data, distributed computing, and machine learning. Trained in mechatronics and robotics at UNAM, he brings a systems-oriented mindset and a knack for turning complex, cross-disciplinary requirements into pragmatic engineering designs.
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