🎓 Ph.D. Candidate at Wayne State University (GPA: 3.93/4.00)

🔐 Research Focus: Blockchain Security · Smart Contract Auditing · AI/ML for Vulnerability Detection

💡 Building intelligent systems at the intersection of decentralized technologies and machine learning

• 🛡️ ActorAI — AI-powered smart contract auditing framework using ML-based vulnerability detection
• 🌐 BGPSentry — Blockchain-based BGP route validation and AS reputation scoring system
• 🔍 Smart contract security analysis using static analysis (Slither, Mythril) and deep learning
• 🤖 Applying Transformers and NLP to code vulnerability classification
• 📊 End-to-end ML pipelines for fraud detection, recommendation systems, and predictive modeling

🎓 Ph.D. in Computer Science — Wayne State University, Detroit, MI (3.93/4.00) 2021 – Present

🎓 M.Sc. in Computer Science — Wayne State University, Detroit, MI (3.93/4.00) 2021 – 2024

🎓 M.Sc. in Technology — Western Carolina University, NC (4.00/4.00) 2018 – 2020

🎓 B.Sc. in Electrical & Electronic Engineering — Pabna University of Science & Technology, Bangladesh (3.24/4.00) 2012 – 2016

Platforms: Ethereum · Solana · Polygon · BSC  |  Security: Slither · Mythril · Echidna · Certora

ML/DL: XGBoost · Transformers · HuggingFace  |  Visualization: Tableau · Power BI · Plotly Dash

Languages: Python · SQL · JavaScript · TypeScript · Solidity · Rust · Java  |  Cloud: AWS · GCP

Researcher | Sep 2021 – Present

• Leading ActorAI, an AI-powered smart contract auditing framework analyzing Solidity codebases for vulnerabilities (reentrancy, access control flaws, integer overflows)
• Built automated audit pipeline processing 500+ professional security reports with ML-based detection models
• Applied deep learning (PyTorch, Transformers) achieving 85%+ accuracy in vulnerability classification
• Utilized static analysis (ASTs, CFGs) with Tree-sitter and Slither for semantic feature engineering

Researcher | Sep 2024 – Present

• Architecting BGPSentry, a permissioned blockchain system for securing internet routing infrastructure
• Designed custom consensus mechanism and smart contracts for BGP announcement logging
• Developed cryptographic proof-of-announcement protocols and token-based staking mechanisms
• Built AS-level network graphs and anomaly detectors using NetworkX and scikit-learn

🔗 BGP-Sentry — Blockchain-secured BGP route validation system

Solidity Web3.py Python

🔗 FlashX — Aave V3 flash loan dApp with arbitrage simulation

Solidity Hardhat Next.js Chainlink

🔗 YieldLock — ERC-20 staking protocol with time-based rewards

Solidity Foundry React wagmi

🔗 FortunaLottery — Decentralized lottery with Chainlink VRF

Solidity Chainlink VRF React

🤖 Credit Card Fraud Detection — ML pipeline achieving 100% Recall, 99.8% Precision on 568K+ transactions

Python XGBoost PyTorch SMOTE

🤖 Movie Recommendation System — Hybrid recommender with Neural CF (RMSE: 0.6479)

PyTorch scikit-learn TF-IDF

🤖 SpaceX Falcon 9 Prediction — End-to-end ML pipeline for landing success prediction

Python SQL Plotly Dash Folium

📜 IBM Data Science Professional Certificate — IBM (View)

📜 Deep Learning Specialization — DeepLearning.AI (View)

📜 Machine Learning Specialization — Stanford & DeepLearning.AI (View)

📜 Blockchain Specialization — University at Buffalo (View)

📜 Solidity Mastery — Packt (View)

🏆 Best Paper Award — 9th International Conference on Computer and Communications Management (ACM) Jul 2020

🏆 Summer Research Assistantship — Western Carolina University May 2019 – Aug 2019

Building secure and intelligent systems at the intersection of blockchain and AI