Joseph Durago
Machine Learning Engineer at Rebellion Defense
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolJoseph Durago is a Machine Learning Engineer with nine years of experience who blends an electrical engineering and hardware reliability background with production ML and data engineering. He has driven measurable impact—5x revenue submission improvements via real-time CV and entity recognition and a 30x field reliability improvement on inverter products—while building ETL, forecasting, and inference pipelines using Python, PyTorch, and AWS. Comfortable moving between low-level reliability analysis (Weibull, DFMEA) and scalable ML deployments (SageMaker, Lambda, Docker), he repeatedly turns test data and failure analysis into actionable, automated tooling. Based in Oakland, he pairs a quality-first mindset from hardware testing with hands-on software delivery and a knack for shipping pragmatic ML systems. Off-hours he pursues Argentine Tango and analog photography, reflecting a creative attention to detail that surfaces in both model tuning and visualization.
9 years of coding experience
11 years of employment as a software developer
California Polytechnic State University, San Luis ObispoNanodegree Machine Learning, Nanodegree Machine Learning at UdacityB.S. Electrical Engineering, B.S. Electrical Engineering at Chalmers University of Technology
Github Skills (31)
radiance10
neural-rendering10
jupyter9
notebook9
generative9
minikube8
machine-learning8
kubeflow8
google-kubernetes-engine8
kubernetes7
pdf7
tensorflow7
kedro7
python7
kubeflow-pipelines7
Programming languages (2)
Github contributions (5)
jdurago/Bosch-Production-Line-Performance
Dec 2016 - Feb 2017
Contributions:9 commits, 13 pushes, 1 branch in 2 months
jdurago/Boston-Housing-Analysis
Aug 2016 - Feb 2017
Contributions:8 pushes, 1 branch in 6 months
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