I am a Blockchain Backend / Security Engineer with a strong interest in cryptography, smart contract security, and blockchain system reliability.

My work focuses on understanding how blockchain systems fail in practice — from cryptographic misuse to transaction ordering and asset settlement — and designing systems and experiments that make those failure modes explicit.

A collection of security labs designed for an Information Security course. These projects emphasize problem design, threat modeling, and learning objectives, rather than publishing full exploit solutions.

📁 security-problem-design

• Project 1 — Double AES (ECB) Key Recovery

  • ECB mode structural leakage via images
  • Meet-in-the-middle attack on Double AES-128
  • Focus: cryptographic design pitfalls and key recovery feasibility

• Project 2 — Ethereum Toy Mixer Attack

  • Vulnerable commitment design using a custom hash
  • Deposit–withdrawal linking and forged withdrawal construction
  • Focus: smart contract authentication and mixer design flaws

These labs were designed to help students reason end-to-end: from cryptographic assumptions to real attack consequences.

An education-only Ethereum smart contract for studying secure settlement architecture and mitigation patterns.

📁 escrow-settlement-contract-lab

• Commit–reveal pattern to mitigate front-running
• Pull-based settlement (CEI)
• Reentrancy protection, access control, pausability
• Solidity ^0.8.x checked arithmetic (SafeMath replacement)
• Hardhat tests demonstrating the full lifecycle

This project focuses on secure contract structure, not application deployment.

An on-chain analysis pipeline for detecting NFT frontrunning attacks based on Ethereum transaction ordering.

📁 nft-frontrunning-detection

• NFT transfer data collection
• OpenSea list-and-buy focused detection heuristic
• Failed transaction analysis (reverted victim tx)
• Explicit attacker–victim ordering constraints

A multimodal NFT price-level prediction pipeline used for analysis and robustness evaluation.

📁 nft-price-prediction

• Text + image encoders (BERT, ViT)
• Attention-based feature fusion
• Collection-level signals (floor / average price)
• Designed for analytical use, not automated trading

• Blockchain security & MEV
• Cryptographic protocol design
• Smart contract architecture & audits
• Transaction ordering & mempool analysis
• Secure system design for high-value assets

All repositories are provided for educational and research purposes only. They intentionally include simplified or vulnerable constructions and must not be used in production environments.

📫 Feel free to explore the repositories or reach out for discussion on blockchain security and system design.