Camilo Sanín
Sr. Applied Scientist, GenAI Advertising (Conversational Ads)
United States
Summary
👤
Senior🎓
Top SchoolCamilo Sanín is a senior machine learning engineer at Prime Video Ads with nine years of experience building low-latency, production-grade decision systems that balance customer engagement and in-stream advertising. He owns end-to-end ML platforms and multi-model pipelines, translating noisy signals and real-world constraints (latency, reliability, privacy) into reliable business decisions. He drives org-wide adoption of AI-native development practices, pairing rigorous engineering standards with practical workflows that move teams beyond ad-hoc AI assistance. His background includes applied AI roles across Amazon and JPMorgan and a PhD from Columbia, which informs a principled approach to reasoning under uncertainty. Uncommonly for an ML engineer, his early research combined spatial ecology, Bayesian inference, and large ETL pipelines—experience that shaped his skill for interdisciplinary problems and long-term technical ownership.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Graduate School of Arts and Sciences, Doctor of Philosophy - PhD, Graduate School of Arts and Sciences at Columbia UniversityUniversidad de los Andes
Danish, Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
estimate8
loss8
region7
earth6
ecology6
sampling6
biodiversity6
probability5
graph5
collections5
evolution4
python3
foundation3
Programming languages (1)
Github contributions (5)
adamlilith/enmSdmBayesLopod
Mar 2017 - Mar 2020
Contributions:2 releases, 2 PRs, 77 pushes in 2 years 11 months
evolutionlocalitygoalmisidentifiedbiodiversity
adamlilith/bayesLopod-Guide
Dec 2017 - Jan 2018
Contributions:17 commits in 4 days
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