Bruno Lerner is a Lead Data Scientist based in Rio de Janeiro with 8 years of experience combining software engineering and machine learning to build production-grade recommender systems and AI-driven products. He has led AI strategy and implementation at companies from startups to large platforms—driving autonomous data preparation and reconciliation at Dattos, improving cold-start recommendations and uncertainty-aware ranking at Outbrain, and optimizing matching and testing frameworks at Waze. Comfortable across the stack, he pairs research-minded modeling with hands-on engineering (Java, ETL, services) to ship reliable features and tooling that empower other data teams. He mentors engineering practices as an advisor while continuing hands-on contributions and open-source work visible on GitHub. Notably, his background in physics teaching and robotics tutoring reveals a practical, educational bent that helps him translate complex models into usable product experiences.
8 years of coding experience
6 years of employment as a software developer
Fellow Data Scientist Data Science, Fellow Data Scientist Data Science at Israel Tech Challenge <itc>
Computer Engineering Computer Engineering, Computer Engineering Computer Engineering at Instituto Militar de Engenharia
Project of Embedded Systems - Create a musical instrument inspired by an instrument called Theremin.
Contributions:8 pushes in 1 year 11 months
musicalmusical-instrumentembedded-systemsembedded
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