Emmanuel Fuentes
VP, Data & AI
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolEmmanuel Fuentes is a data and AI executive with a decade of hands-on machine learning and engineering experience, currently leading Data & AI as VP at Whatnot in Los Angeles. He has scaled ML platforms and personalized data products across industries—from healthcare imaging at GE to marketplace personalization at GOAT and live commerce at Whatnot. Known for translating research-grade models into production systems, he blends product intuition with infrastructure expertise to deliver seamless, personalized experiences. His career progression from systems and UX engineering into senior data science and leadership roles reflects a rare mix of deep technical breadth and people-first management. Emmanuel’s background in electrical engineering and early work as a teaching assistant hint at a strong foundation in signals and systems that informs his approach to ML problems. He often focuses on solving practical personalization challenges that drive user engagement rather than pursuing academic novelty alone.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science in Electrical Engineering Systems and Signals, Bachelor of Science in Electrical Engineering Systems and Signals at Rice University
French
Github Skills (48)
observation10
operation10
python10
acceleration10
machine-learning10
metadata10
numpy10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
data-science9
Programming languages (2)
Github contributions (5)
eifuentes/skipgrammar
Aug 2020 - Mar 2024
A framework for representing sequences as embeddings.
Contributions:2 releases, 16 PRs, 42 pushes in 3 years 8 months
nlpsequencenim-langdeep-learningembeddings
eifuentes/awesome-embeddings
Jun 2020 - Jan 2022
Contributions:10 commits, 9 pushes, 1 branch in 1 year 6 months
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