Kfir Aberman
Distinguished Member at American Society for AI
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolKfir Aberman is a founding member leading Decart’s US office to build real-time, emotionally intelligent audio-visual agents powered by an ultra-optimized inference stack. He previously led Personalized Generative AI research at Snap and ran computer-graphics-focused deep learning teams at Google, translating research into Pixel product features. He holds a PhD in Computer Science from Tel Aviv University and contributes to open-source work such as the SIGGRAPH 2020 deep-motion-editing library with Blender integration. His background spans MMIC RF design and satellite mission-planning algorithms developed during service in the Israel Defense Forces, giving him uncommon breadth across hardware, algorithms, and real-time ML systems. Based in the San Francisco Bay Area, he blends product-driven leadership with hands-on ML engineering to ship next-generation experiences that feel alive.
9 years of coding experience
12 years of employment as a software developer
Bachelor’s Degree, Electrical and Electronics Engineering, Summa Cum Laude, Bachelor’s Degree, Electrical and Electronics Engineering, Summa Cum Laude at Technion - Israel Institute of TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Tel Aviv University
Hebrew, English, Spanish, Chinese
Github Skills (11)
deep-learning10
computer-graphics10
python10
style-transfer9
machine-learning9
pytorch8
animate8
animation7
3d7
animations7
blender7
Programming languages (2)
Github contributions (5)
DeepMotionEditing/deep-motion-editing
Apr 2020 - Aug 2020
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
Role in this project:
ML Engineer
ML EngineerContributions:35 commits, 20 PRs, 26 pushes in 3 months
Contributions summary:Kfir appears to be involved in developing and structuring components for a deep learning-based motion editing library. They added the core structure of the project with a focus on options and testing. The user also added code related to model creation, suggesting they're working with different motion editing models such as retargeting and style transfer. Furthermore, the user added files for Blender integration, adding joint rotations and translations.
style-transferend-to-endcomputer-animationdeep-learningoptical-flow
DeepMotionEditing/DeepMotionEditing.github.io
May 2020 - Jun 2020
A webpage for the papers "Skeleton-Aware Networks for Deep Motion Retargeting" and "Unpaired Motion Style Transfer from Video to Animation" - SIGGRAPH 2020
Contributions:39 commits, 38 PRs, 18 pushes in 1 month
animationstyle-transferretargetingskeletonmotion
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