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Results-driven Computer Science graduate and Cyber Security enthusiast with extensive self-taught knowledge in penetration testing. Proficient in Flutter for creating user-friendly iOS and Android apps. Skilled in vulnerability assessment, network sniffing, and optimizing websites for SEO. Passionate about continuous learning and adept at cutting development time using new and trendy methods. Eager to contribute expertise and passion to innovative projects.

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Ahmed elhadidi's Projects

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

ai_model icon ai_model

GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)

autorecon icon autorecon

AutoRecon is a multi-threaded network reconnaissance tool which performs automated enumeration of services.

ciphey icon ciphey

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

ctf-katana icon ctf-katana

This repository aims to hold suggestions (and hopefully/eventually code) for CTF challenges. The "project" is nicknamed Katana.

ethereum-boilerplate icon ethereum-boilerplate

The ultimate full-stack Ethereum Dapp Boilerplate which gives you maximum flexibility and speed. Feel free to fork and contribute. Although this repo is called "Ethereum Boilerplate" it works with any EVM system and even Solana support is coming soon! Happy BUIDL!👷‍♂️

fuzzdb icon fuzzdb

Dictionary of attack patterns and primitives for black-box application fault injection and resource discovery.

goldnero icon goldnero

Goldnero: the secure, private, mobile based cryptocurrency

hair-loho icon hair-loho

Official Pytorch implementation of "Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment (ECCV 2022)"

messenger icon messenger

iOS & Android app with dApp integrations, e2e chat, notifications, discovery, etc

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