Naim Kabir
Chief Technology Officer at InfraHub
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNaim Kabir is a technology leader and CTO based in San Francisco with a decade of experience building data-driven products and infrastructure for startups and scale-ups. He has moved between roles as a founding ML engineer and applied scientist to lead engineering teams, shipping streaming ETL, experimentation frameworks, model versioning, and production ML at companies including InfraHub, PermitFlow, Stripe, and Even. Naim combines hands-on systems work—IaC, AWS migrations, and backend/front-end code—with rigorous causal experimentation and collaboration with economists and policy experts to turn hypotheses into measurable product impact. His background in behavioral science and philosophy, plus early research experience in psychophysics, gives him a rare ability to connect human-centered questions to scalable technical solutions. Notably, he built internal ML ops and experimentation platforms that materially reduced time-to-insight and enabled safer rollouts at product speed.
10 years of coding experience
9 years of employment as a software developer
Nanodegree Artificial Intelligence, Nanodegree Artificial Intelligence at UdacityBachelor of Arts (B.A.) Double Major: Biological Basis of Behavior Philosophy of Science, Bachelor of Arts (B.A.) Double Major: Biological Basis of Behavior Philosophy of Science at University of Pennsylvania
Bangla, English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (33)
python10
machine-learning10
gpu10
numpy9
neural-network9
deep-learning9
gpu-acceleration8
autograd8
tensorflow8
acceleration8
tensor8
mediawiki7
semantic-release6
conversations5
semantic5
Programming languages (7)
Github contributions (5)
NaimKabir/ethical-consumption
Feb 2021 - Sep 2021
Service for linking online consumption with ethical corporate behavior. Consumers should give bad actors less revenue, and should give good actors more revenue.
Contributions:19 commits, 27 PRs, 29 pushes in 7 months
baddjangolinkingconsumersrevenue
NaimKabir/ScalaNeuralNet
May 2016 - Sep 2018
Learning scala by makin' a thing
Contributions:2 PRs, 24 pushes, 3 branches in 2 years 4 months
learning-scalascala3scaladottyscala-native
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