Idoย Galil
Deep Learning Researcher at NVIDIA
North District, Israel
Summary
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Top SchoolIdo Galil is a Deep Learning Researcher with eight years of software and research experience, currently working in NVIDIAโs Deci group on efficient ML model development and deployment. He is pursuing a PhD in Computer Science at the Technion, where he also completed his BS and MS and served as a teaching assistant for Data Structures, reflecting strong foundations in algorithms and systems. Prior industry roles include a software engineering internship at Microsoft and an earlier research position at Deci AI, giving him practical experience bridging research and production. Ido focuses on bringing academic rigor to real-world model optimization problems, such as model compression and acceleration for edge and cloud inference. He combines hands-on engineering with teaching experience, which helps him communicate complex ideas clearly to cross-functional teams. Based in northern Israel, he brings a balance of deep theoretical knowledge and applied ML engineering to performance-sensitive AI projects.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Technion - Israel Institute of Technology
English, Hebrew
Stackoverflow
1reputation
0reached
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Github Skills (22)
image-classification10
imagenet10
optimizer10
detector10
mobilenet10
resnet10
visual-recognition10
efficientnet10
cnn-classification9
distributed-training9
pytorch9
mixnet8
tracking-algorithm8
vision-transformer8
stylegan8
Programming languages (2)
Github contributions (5)
IdoGalil/People-counting-system
May 2020 - Dec 2022
System to count the people entering and leaving an entrance, using a DNN as a detector (YOLO) and a tracking algorithm to count and track (CSRT)
Contributions:16 commits, 1 PR, 14 pushes in 2 years 7 months
count-toobject-detectioncomputer-visiondetectortracking
IdoGalil/ACE
Oct 2021 - Aug 2022
Contributions:24 commits, 1 push in 9 months
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