Ben Eyal
Research Engineer at Allen Institute for AI (AI2)
Rehovot, Center District, Israel
Summary
👤
Senior🎓
Top SchoolBen Eyal is a research engineer with a decade of experience bridging natural and programming languages, currently researching text-to-SQL at the Allen Institute for AI under Prof. Michael Elhadad. He holds a PhD track in Computer Science from Ben-Gurion University, where he also lectured and taught core courses in programming languages, compilers, and systems. Skilled in PyTorch and deep learning, he has contributed educational materials and model refinements to popular repositories used in the Learn PyTorch for Deep Learning course. His background blends rigorous academic research with hands-on engineering, enabling practical advances in NL-to-code problems. Based in Rehovot, Israel, he brings both teaching experience and production-minded ML development to research-driven projects. Notably, his contributions often focus on clarifying and hardening model implementations for broader reproducibility and learning.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Ben-Gurion University of the Negev
Hebrew, English
Github Skills (6)
pytorch10
machine-learning10
deep-learning10
python10
jupyter-notebook9
computer-vision9
Programming languages (18)
Github contributions (5)
mrdbourke/pytorch-deep-learning
Feb 2022 - May 2022
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Role in this project:
ML Engineer
ML EngineerContributions:7 commits, 7 PRs, 2 comments in 3 months
Contributions summary:Ben primarily contributed to the development and refinement of PyTorch-based deep learning models. They updated notebook files, correcting typos, adding notes and improving formatting, likely for educational materials. Changes include modifying code related to fundamental PyTorch operations, data loading and model architecture, demonstrating a strong understanding of the PyTorch framework.
pytorchzerodeep-learningmachine-learningzero-to-mastery-course
zero-to-mastery/ascii-art-2022
Sep 2022 - Oct 2022
A ZTM Challenge for Hacktoberfest 2022, converting images into text using the 95 printable characters defined by the ASCII Standard
Contributions:9 reviews, 19 commits, 69 PRs in 12 days
printable-charactersztmasciidefinedascii-art
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