Edan Kinderman
Research Scientist at NVIDIA
Haifa District, Israel
Summary
👤
Senior🎓
Top SchoolEdan Kinderman is a Research Scientist at NVIDIA with six years of experience at the intersection of LLMs, retrieval systems, and machine learning, holding an M.Sc. in Electrical Engineering from the Technion. He has driven applied research on speculative decoding and VLM-augmented document parsing at AWS, producing architecture and evaluation work that fed internal research publication pipelines. His background spans chip verification and NIC testing at NVIDIA hardware teams, hands-on dataset curation and labeling pipelines, and award-winning teaching in introductory machine learning courses. A former intelligence analyst, he brings disciplined analytical rigor to model failure-mode analysis and production evaluation. Based in Haifa, Edan blends deep systems thinking with practical ML engineering to move research ideas toward robust, deployable systems.
6 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Machine learning, Master of Science - MS, Machine learning at Technion - Israel Institute of TechnologyHigh School, High School at Atid High School for Science
English, Hebrew
Github Skills (15)
microsoft-teams9
nlog9
office3658
log4net-appender6
appender5
microsoft5
log4net3
sink2
docker-image2
logging2
sqlite1
sdk1
serilog1
docker1
ruby1
Programming languages (2)
Github contributions (5)
jedipi/Quick-Stocktaker
Feb 2021 - Jun 2022
Contributions:34 commits, 4 PRs, 44 pushes in 1 year 4 months
jedipi/covid-19-info-xamarin
Mar 2020 - Jul 2022
Contributions:2 releases, 17 pushes, 2 branches in 2 years 3 months
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