John Urbanik
Staff Machine Learning Engineer at Recursion
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJohn Urbanik is a Staff Machine Learning Engineer with 11 years of experience building end-to-end, ethically minded ML and data systems that prioritize explainability, reliable pipelines, and stakeholder engagement. He blends research intuition with applied engineering — moving fluidly between causal time-series models, large-scale data warehousing, and production ML at companies like Recursion and Predata. As a founder and CTO he shipped DSP and ML-based hearing solutions, and earlier roles included real-time Bayesian topic modeling and optimization-driven, user-facing products at Palantir. He’s skilled at cutting computational cost and iteration time through pragmatic rearchitecture and reproducible experiment pipelines, and has led teams from individual contributor to manager. Based in Los Angeles, he brings a mission-driven focus on equity and transparency to technical strategy and system design.
11 years of coding experience
9 years of employment as a software developer
BSE, Electrical Engineering, BSE, Electrical Engineering at Princeton University
Github Skills (79)
python10
infrastructure10
deep-learning10
streamlit10
bokeh10
pipeline10
data-visualization10
developer-tools10
data-science10
fastest10
data-analysis10
machine-learning10
prefect9
pandas9
dataflow9
Programming languages (8)
Github contributions (5)
epi-center/planning
Mar 2020 - Apr 2020
Contributions:28 commits, 23 pushes, 1 branch in 15 days
johnurbanik/johnurbanik.github.io
May 2015 - Oct 2020
John Urbanik's Homepage
Contributions:1 PR, 40 pushes, 2 branches in 5 years 5 months
john
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