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Jamill-hallak/README.md
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I'm Jamill Hallak

Full-Stack Web3 Developer | AI Engineer | Security Researcher 🔒

LinkedIn Portfolio GitHub


About Me

👨‍💻 I am a Full-Stack Web3 Developer with over 4 years of experience specializing in scalable blockchain applications and AI-driven solutions.

🔒 As a Security Researcher, I specialize in identifying vulnerabilities in blockchain systems and implementing advanced cryptographic protocols to ensure robust security for decentralized applications and smart contracts.

🤖 As an AI Engineer, I focus on machine learning, NLP, and computer vision to develop innovative solutions for modern challenges.

🛠 I have led cross-functional teams to deliver impactful projects in GameFi, DeFi, and secure cloud infrastructures.

  • 🎓 Applied Data Science Program (MIT, 2023-2024)
  • 🎓 BSc in IT Engineering (AI Specialization, AIU, 2017-2021)
  • ♟ Let's connect to discuss blockchain security, Web3 innovation, or brainstorm AI solutions!

🌟 Core Expertise

  • ⚙️ **Blockchain Development**: Ethereum, Solidity, Rust, Go, Move
  • 🔗 **Web3 Integration**: Ethers.js, Web3.js, Infura, IPFS, Chainlink
  • 🔒 **Security Research**: Smart contract audits, cryptographic protocols, threat modeling
  • 🤖 **AI Engineering**: Deep learning (NLP, Computer Vision), TensorFlow, Keras
  • 🛠 **Tools & Frameworks**: Hardhat, Foundry, Remix, Truffle, OpenZeppelin
  • 📊 **Big Data & Databases**: Hadoop, Redis, DynamoDB, SQL

🔬 Security Research

With a deep understanding of blockchain systems and cryptography, I specialize in identifying and mitigating vulnerabilities in decentralized systems. My security contributions include:

  • 🔍 Conducting comprehensive audits for smart contracts, identifying critical issues and improving security by 35%.
  • ⚡ Developing gas-optimized solutions that enhance contract efficiency by 25%.
  • 🛡 Implementing advanced cryptographic techniques like zk-SNARKs, multi-signature wallets, and encryption protocols for secure dApp ecosystems.
  • 📊 Delivering actionable security reports that provide in-depth analysis and recommendations to improve system resilience.

🚀 Featured Projects

  • Security Reports Portfolio A comprehensive repository of security audit reports, showcasing in-depth analysis of vulnerabilities, gas optimizations, and recommendations for blockchain projects.
  • Account Abstraction Demonstrated advanced account abstraction features using Foundry, with zkSync integration and smart wallet deployment for enhanced usability and security.
  • DeFi Stablecoin Protocol Designed a decentralized stablecoin system using Foundry, focusing on economic stability, collateral management, and robust security measures.

🛠️ Technologies & Tools

Blockchain Tools

Solidity Ethereum Hardhat IPFS Chainlink

Programming Languages

Python JavaScript GoLang TypeScript HTML5

Frontend & Backend

React Node.js Express.js

AI & Data Science

TensorFlow Pandas NumPy

DevOps & Cloud

Docker AWS GitHub Git


🌍 Connect with Me

LinkedIn Portfolio

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  1. Security-reports-portfolio Security-reports-portfolio Public

    A portfolio of security reports for EVM smart contracts, highlighting audits, vulnerability assessments, penetration testing, and risk evaluations. Focused on delivering actionable recommendations …

  2. Foundry-Account-Abstraction Foundry-Account-Abstraction Public

    This repository showcases Account Abstraction (AA) using Foundry, demonstrating how it transforms externally owned accounts (EOAs) into programmable smart contracts, enabling unprecedented flexibil…

    Solidity

  3. Foundry_DeFi_StableCoin Foundry_DeFi_StableCoin Public

    It showcases the implementation of a decentralized stablecoin system where users can deposit WETH and WBTC to mint a USD-pegged token.

    Solidity

  4. ethereum-aws-kms-signer ethereum-aws-kms-signer Public

    A Go utility to sign Ethereum messages using AWS KMS, with support for message hashing and ECDSA signature adjustments according to Ethereum standards.

    Go

  5. Cross_chain_swap Cross_chain_swap Public

    This project aims to provide cross-chain functionality, allowing for interactions between different blockchain networks. There are two common approaches to achieve cross-chain capabilities

    JavaScript

  6. Malaria_Detection Malaria_Detection Public

    This project develops a deep learning model using Convolutional Neural Networks (CNN) to detect malaria from blood cell images. The model aims to provide an efficient diagnostic tool that can be de…

    Jupyter Notebook