Naif Mehanna

Staff Research Engineer at Castle

Lille, Hauts-de-France
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Summary

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Senior
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Top School
Naif Mehanna is a Senior Threat Researcher with nine years of experience blending academic rigor and industry impact in web security, browser fingerprinting, online advertising, and bot detection. He holds a PhD from the University of Lille and has published award-winning research—co-leading a novel GPU-based fingerprinting technique and devising an end-to-end methodology to measure the carbon impact of online advertising. Naif has translated research into production at companies like DataDome and Castle, building defenses that detect fraudulent traffic and hard-to-catch bots. His background in robotics and data engineering informs a pragmatic, systems-oriented approach spanning Rust, Python, Node.js, and distributed tooling such as Kubernetes and Spark. Known for bridging academia and industry, he frequently advises stakeholders from government to private sector on privacy and ad-tech threats.
code9 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Lille 1 Sciences and Technology
bookEngineer's degree, Ingénierie informatique, micro-électronique, automatique, Engineer's degree, Ingénierie informatique, micro-électronique, automatique at Polytech Lille
languagesEnglish, Spanish, Arabic, French, Portuguese
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Github Skills (19)

wifi9
database8
scanning8
wifi-hacking7
esp82667
arduino6
testing5
crawler3
puppeteer3
reinforcement-learning2
convolutional-neural-networks2
js2
cmake1
ios1
react-native1

Programming languages (5)

JavaC++ShellCJavaScript

Github contributions (5)

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naifmeh/smartbot

Oct 2018 - Dec 2018

Reinforcement learning for more efficient bots
Contributions:27 commits in 1 month
reinforcement-learning
tarzan212/squeezeCNN

Jun 2018 - Jul 2018

Contributions:31 pushes, 2 branches in 1 month
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