Erik Ordentlich
Senior Manager at NVIDIA
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolErik Ordentlich is a Senior Manager at NVIDIA leading distributed machine learning efforts, bringing decades of deep research experience in information theory, compression, and coding from roles at Yahoo and HP Labs. He holds a PhD from Stanford and co-invented the subbitplane technology adopted in the JPEG 2000 standard, reflecting a rare blend of theoretical insight and practical standardization impact. Erik has led teams building scalable ML platforms and previously developed algorithms and firmware for high-density voice-processing chips, demonstrating fluency across hardware, firmware, and large-scale software systems. Based in San Jose, he pairs rigorous academic training with hands-on product and systems engineering to move novel research into production-scale machine learning infrastructure.
8 years of coding experience
31 years of employment as a software developer
Bachelor of Science (BS), Electrical and Electronics Engineering, 5.0/5.0 GPA, Bachelor of Science (BS), Electrical and Electronics Engineering, 5.0/5.0 GPA at Massachusetts Institute of TechnologyDoctor of Philosophy (PhD), Electrical Engineering, Doctor of Philosophy (PhD), Electrical Engineering at Stanford University
Hungarian, French
Github Skills (50)
portable10
gbm10
xgboost10
spark-ml10
spark10
dataflow10
python10
big-data10
machine-learning10
distributed-systems10
machine-learning-algorithms10
hadoop10
java10
gradient-boosting10
gradient10
Programming languages (4)
Github contributions (5)
eordentlich/spark-rapids-ml
Feb 2023 - Mar 2025
Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs
Contributions:316 pushes, 221 branches in 2 years 1 month
NVIDIA/spark-rapids-ml
Jan 2022 - Mar 2025
Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs
Contributions:1 release, 564 reviews, 217 PRs in 3 years 2 months
machine-learningapachesparkapache-sparkspark-mllib
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