Juan-pablo Velez
Founder, Executive Director at Switchbox
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJuan-pablo Velez is a data-driven founder and engineering leader with 14 years of experience building large-scale machine learning systems, civic tech, and data science initiatives. He led ML engineering at Spotify and now directs Switchbox, a think tank translating rigorous state-level climate policy data into usable insights for advocates, policymakers, and the public. His background spans consultancy work at Polynumeral, civic platforms with Open City, and founding roles in Data Science for Social Good and Chi Hack Night, reflecting a long commitment to public-interest technology. Trained in sociology and advanced probability and linear algebra at Chicago, Columbia, and NYU, he blends quantitative rigor with storytelling from his data journalism roots. Less obvious: he moves comfortably between high-throughput production ML and grassroots civic organizing, which informs Switchbox’s focus on accessible, policy-relevant data.
14 years of coding experience
11 years of employment as a software developer
Postgraduate studies Honors Vector Calculus & Linear Algebra, Postgraduate studies Honors Vector Calculus & Linear Algebra at New York UniversityPostgraduate studies Probability Theory & Mathematical Statistics, Postgraduate studies Probability Theory & Mathematical Statistics at Columbia UniversityBA with Honors Sociology, BA with Honors Sociology at University of Chicago
Spanish, French
Stackoverflow
93reputation
1kreached
1answer
2questions
Github Skills (169)
dataflow10
google-cloud10
streaming10
batch10
beam9
starlark9
api9
rocker9
cli9
cml9
command-line-tool9
tracks9
scala9
predictive9
pypi9
Programming languages (13)
Github contributions (5)
jpvelez/algorithms
Nov 2014 - Dec 2015
Contributions:49 commits, 18 pushes in 1 year 1 month
darkzeroman/dssg.github.io
May 2013 - Aug 2013
Contributions:218 commits in 3 months
pythonsciencedata-sciencemachine-learningsocial-good
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