Naor Tedgi
Principal Software Engineer at Palo Alto Networks
Be'er Sheva, South District, Israel
Summary
👤
Senior🎓
Top SchoolNaor Tedgi is a Principal Software Engineer with eight years of hands-on experience designing high-performance backend and data systems, currently at Palo Alto Networks after leading demand and interactive ad infrastructure at Unity. He brings a strong full-stack background spanning Node.js, JVM, Python, React, Kafka, and cloud-native tooling (AWS, Docker, Kubernetes), with a track record of optimizing ad delivery pipelines and building scalable data processing CI/CD from the ground up. Naor’s work blends applied research and production engineering—he implemented NLP and behavior-modeling algorithms at Voyager Labs and shipped platform features at monday.com and Vectoraic. An active open-source contributor, he has implemented multiple GoF design patterns in modern JavaScript, demonstrating an attention to clean architecture and testable code. Based in Be'er Sheva, he balances technical leadership with deep implementation skills and a knack for refactoring legacy patterns into robust, maintainable systems.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BSC), Software and Information Systems Engineering, Bachelor of Science (BSC), Software and Information Systems Engineering at Ben-Gurion University of the Negev
Hebrew, English
Stackoverflow
5,454reputation
382kreached
190answers
22questions
javascript
top-5%
gitlab-ci
top-5%
kotlin
top-5%
Github Skills (19)
uitest10
javascript10
testing10
s610
design-patterns10
mochajs10
chai10
gitlab-ci9
kotlin9
nodejs9
proxy-pattern9
flyweight-pattern9
gitlab6
gitlab-ci-runner6
react6
Programming languages (11)
Github contributions (5)
fbeline/design-patterns-JS
Apr 2018 - Apr 2018
All the 23 (GoF) design patterns implemented in Javascript
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:13 commits, 7 PRs in 3 days
Contributions summary:Naor contributed to the implementation of design patterns using JavaScript. They added implementations of the Chain of Responsibility and Flyweight patterns with supporting tests in ES6. Furthermore, the user refactored and updated code, making changes to import/export statements and fixing minor issues. They also worked on a Proxy pattern implementation within the repository, thus extending the scope of the project.
goffactorycssjavascriptpatterns
ntedgi/node-efficientnet
Dec 2020 - Nov 2022
tensorflowJS implementation of EfficientNet 🚀
Contributions:25 reviews, 281 commits, 88 PRs in 1 year 10 months
tensorflowjsimage-recognitionvisual-recognitionimage-classificationtensorflow
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