Eastan Giebler is a software engineer with nine years of experience who blends systems engineering and machine learning expertise, currently building software at Tesla while pursuing an MS in Artificial Intelligence at Stanford. He has hands-on experience from embedded BLE firmware and mobile endpoints to system platform work at NVIDIA and deep learning research reconstructing 3D surfaces from sparse ultrasonic data. A former FRC team alum and open-source contributor, Eastan brings a maker’s curiosity and strong math background (BS in Math & CS) to human-centered AI solutions. Notably, he moves comfortably between research prototypes and production systems, bringing practical execution to cutting-edge sensing and systems problems.
9 years of coding experience
2 years of employment as a software developer
UMTYMP - University of Minnesota Talented Youth Math Program, UMTYMP - University of Minnesota Talented Youth Math Program at University of Minnesota
High School Diploma, High School Diploma at East Ridge High School
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Stanford University
A Python tool that generates video visualizations for source code debugging.
Contributions:2 releases, 79 commits, 7 pushes in 12 days
pythongci2019debuggingvisualizationsvideo
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