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Jamill-hallak/README.md
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Jamill Hallak

Web3 Engineer • Security Researcher • Formal Verification Enthusiast 🔐

LinkedIn Portfolio GitHub


👨‍💻 About Me

I’m a Full-Stack Web3 Developer and Security Researcher with 4+ years of experience in smart contract development, auditing, and formal verification. My focus spans DeFi, GameFi, and zk systems, emphasizing modular architecture, gas optimization, and formally proven correctness.

I work with Foundry, Huff, Yul, and Certora to build secure, production-ready smart contracts. I also explore AI, NLP, and computer vision, merging blockchain with machine learning to solve complex problems.


🧠 Core Skills

🧱 Smart Contract Engineering

Solidity · Huff · Yul · Foundry · Hardhat · OpenZeppelin · Inline Assembly · EVM internals

🔐 Smart Contract Security & Auditing

Threat modeling · Fuzzing (stateful, invariant) · Calldata and storage inspection
PoC exploit writing · Opcode tracing · Gas profiling · Audit reporting

🧪 Formal Verification

Certora Prover · Halmos · Invariant specification · Symbolic execution · Ghost variables · SMT Solvers (Z3) · Rule-based property testing

🧬 Zero-Knowledge & Web3 Protocols

zkSync · EIP-4337 Account Abstraction · SNARKs · Chainlink · Infura · IPFS · Web3.js · Ethers.js

🤖 AI & Machine Learning

TensorFlow · PyTorch · HuggingFace · LangChain · Natural Language Processing (NLP) · Computer Vision · Transformers · CNN · LSTM

⚙️ Backend & Infrastructure

Node.js · JavaScript · TypeScript · Go · Python · REST APIs · GraphQL · WebSockets · Redis · SQL · DynamoDB

☁️ DevOps & Cloud

AWS (EC2, Lambda, Cognito) · Docker · GitHub Actions · CI/CD pipelines · Distributed Systems · P2P Networking


🔐 Security Engineering & Formal Methods

  • ✅ Audited high-impact DeFi protocols and discovered critical vulnerabilities
  • ⚒️ Built Huff and Yul contracts optimized for bytecode-level gas savings
  • 🧪 Applied formal verification with Certora to prove critical system invariants
  • 🔍 Conducted calldata analysis, slot tracing, and EVM-level debugging
  • 📊 Delivered detailed audit reports with PoCs and risk mitigation steps

🚀 Featured Projects


📜 Certifications

  • 🧠 Assembly, Formal Verification & EVM Opcodes – Cyfrin (2025)
  • 🔧 Smart Contract DevOps – Cyfrin (2025)
  • 🔐 Smart Contract Security & Auditing Program – Cyfrin (2025)
  • 🧪 Advanced Foundry & Account Abstraction – Cyfrin (2024)
  • Advanced Solidity: Understanding & Optimizing Gas Costs – Udemy (2024)
  • 🏦 Blockchain Technology Specialization – University at Buffalo (USA, Remote, 2023)
  • 💸 DeFi Applications Specialization – Duke University (USA, Remote, 2023)

🧰 Toolbox

🧱 Smart Contract Stack

Solidity Huff Yul Foundry Hardhat

🔬 Formal Verification

Certora Halmos SMT

☁️ Infra & DevOps

Docker AWS GitHub Actions

🤖 AI & ML

TensorFlow PyTorch Transformers


🎓 Education

  • 🎓 MIT Applied Data Science Program – 2023–2024
  • 🎓 BSc in IT Engineering (AI) – AIU, 2017–2021

📬 Let's Connect

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