Immanuel Buder
Staff Machine Learning Engineer at Intuit
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolImmanuel Buder is a Staff Machine Learning Engineer in Berkeley with 11 years of experience blending astrophysics, data science, and software engineering to build production ML systems. A PhD physicist who moved from designing and deploying microwave telescope pipelines to leading data-driven initiatives at Carbon Lighthouse and Intuit, he excels at turning noisy, large-scale sensor and time-series data into actionable models and scalable services. He has a track record of performance improvements—from tripling data-processing throughput in Antarctic deployments to improving telescope sensitivity by 10%—and practical experience shipping predictive web apps and database-backed ML solutions. Drawn to mission-driven work, he pairs strong statistical and Bayesian modeling foundations with pragmatic engineering to deliver impact in energy and financial domains.
11 years of coding experience
12 years of employment as a software developer
Thomas Jefferson High School for Science and TechnologyPhD, Physics, PhD, Physics at University of ChicagoBS, Physics, with Distinction, BS, Physics, with Distinction at Stanford University
Github Skills (40)
apache-spark10
spark10
python10
r10
big-data10
apache10
jdbc10
analytics10
java10
large-scale10
scala10
scale10
sql10
data-processing10
hadoop9
Programming languages (4)
Github contributions (5)
ibuder/metamooc
Mar 2015 - May 2015
Contributions:29 commits, 12 pushes, 1 branch in 2 months
ibuder/spark
Oct 2022 - Jan 2023
Apache Spark - A unified analytics engine for large-scale data processing
Contributions:14 pushes, 6 branches in 2 months
analyticsdata-processingapachebig-dataspark
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