Eliahu Horwitz
Teaching Assistant In The Image Processing Course (Prof. Shmuel Peleg) at The Hebrew University of Jerusalem
Jerusalem District, Israel
Summary
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Rockstar🎓
Top SchoolEliahu Horwitz is a PhD candidate in Computer Science at the Hebrew University of Jerusalem researching Weight Space Learning—treating neural networks themselves as data to recover training trajectories and build weight-space representations. He blends a decade of hands-on software engineering across startups and large companies with research internships at Google and Lightricks, enabling practical, production-aware approaches to deep learning problems. As a multi-course teaching assistant he designs curricula and mentors teams in image processing, web development, and neural networks, reflecting strong communication and pedagogy. His industry work spans full-stack and backend systems, security-focused static analysis, and synthetic data generation from GAN representations, showing a knack for turning theory into tools. Uncommonly, his background includes leading network operations in the IDF and shipping consumer-facing mobile products, giving him systems-level rigor and product intuition.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The Hebrew University of JerusalemCCNA, CCNA at IITC
English, Hebrew
Stackoverflow
499reputation
38kreached
17answers
11questions
Github Skills (157)
cryptocurrency10
efficientnet10
p2p10
pre-trained-model10
audio10
resnet10
paper10
staging10
bitcoin10
flux10
cryptography10
imagenet9
javascript9
optimizer9
multimodal9
Programming languages (7)
Github contributions (5)
eliahuhorwitz/DeepSIM
Jul 2020 - Nov 2021
Contributions:8 commits, 6 pushes, 10 comments in 1 year 4 months
eliahuhorwitz/3D-ADS
Mar 2022 - Nov 2022
Official Implementation for the "An Empirical Investigation of 3D Anomaly Detection and Segmentation" paper. https://www.vision.huji.ac.il/3d_ads/
Contributions:3 reviews, 19 commits, 17 pushes in 8 months
investigationanomalyadsvisionunsupervised-learning
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