Joshua Browning
Denver, Colorado, United States
Summary
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SeniorJoshua Browning is a Staff Machine Learning Engineer with 12 years of experience building production ML systems across recycling robotics, consumer forecasting, and financial fraud detection. Based in Denver, he blends strong mathematical foundations (MS in Mathematics and advanced statistics training) with multi-language programming to deliver scalable models and automated forecasting pipelines in cloud environments. He led ML efforts at AMP Robotics to industrialize material-sorting AI and now drives model strategy and deployment at Upstart, after previously engineering PySpark-backed demand and fraud solutions at Coolblue. Joshua has taught machine learning courses, contributed statistical tooling for international agencies, and early-career work in rocket separation dynamics—an uncommon mix that highlights his aptitude for applied math and robust simulation. Colleagues describe him as a quick learner who converts complex analytical problems into practical, impact-driven solutions.
12 years of coding experience
Github Skills (39)
portable10
gbm10
xgboost10
dataflow10
python10
machine-learning10
distributed-systems10
java10
gradient10
boosting10
deep-learning10
tensorflow10
neural-network10
scalable10
data-science9
Programming languages (3)
Github contributions (5)
rockclimber112358/Robust-Skew-t
Nov 2014 - Mar 2016
Contributions:28 commits in 1 year 4 months
SWS-Methodology/faoswsAupus
Apr 2015 - Mar 2016
Contributions:71 pushes, 1 branch, 8 issues in 11 months
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