Andrés Talero

Machine Learning Engineer at Spotify

New York, New York, United States
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Summary

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Senior
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Andrés Talero is a Machine Learning Engineer with nine years of industry experience and a Columbia M.S. in Computer Science, specializing in taking applied ML projects from concept to production across startups and large tech companies. He has deep hands-on expertise in computer vision, multimodal transformers, metric learning, and practical model optimization—having managed million-image labeling efforts and deployed models with K8s, Docker, and TensorRT. At Snap he advanced visual retrieval and multimodal ad ranking through transformer-based signals and LLM fine-tuning, and he now continues this trajectory at Spotify. Comfortable bridging research and engineering, Andrés pairs rigorous evaluation and A/B testing with infra and cost-conscious dataset design. He’s also contributed to consumer-facing shopping features (e.g., Screenshop/Snap visual commerce) and maintains an active GitHub presence.
code9 years of coding experience
job4 years of employment as a software developer
bookCertificate Web Development, Certificate Web Development at freeCodeCamp
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia University
bookBachelor of Science (BS) Geological Science and Computer Science, Bachelor of Science (BS) Geological Science and Computer Science at University of Miami
bookThe Chinese University of Hong Kong (CUHK)
languagesEnglish, Spanish, Chinese, French
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Github Skills (6)

git8
github8
patch7
subversion5
prediction2
machine-learning1

Programming languages (1)

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Github contributions (5)

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Contributions:21 commits, 26 pushes, 1 branch in 1 day
atalero/Black-Jack

Mar 2017 - Aug 2018

Contributions:15 pushes, 1 branch in 1 year 5 months
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Andrés Talero - Machine Learning Engineer at Spotify