Fabián Souto is a Senior Machine Learning Engineer based in San Francisco with a decade of experience building and scaling ML systems for consumer products and enterprises. He led Rappi’s Ads, Search & Personalization team, shipping a multi-objective recommender composed of 40+ custom Transformer models that together power tens of billions of weekly predictions and drove multimillion-dollar revenue gains. Comfortable across research, MLOps and product, he has implemented Python-first pipelines with Airflow, Kubernetes and Snowflake that increased experimental throughput fivefold. Prior roles at NotCo, QMATCH and IBM show a pattern of using ML and engineering to compress delivery timelines by orders of magnitude and turn complex models into production services. Now at Meta, he continues to bridge cross-functional strategy and hands-on systems design, with a pragmatic focus on reproducible experimentation and measurable business impact.
10 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Universidad de Chile
A custom transport for Feathers framework that works with RabbitMQ.
Contributions:17 commits, 14 pushes, 1 branch in 13 days
rabbitmqfeatherstransport
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