MR.
EMRAN
Elite Security Researcher,
Blockchain Architect,
AI Developer, and
Financial Systems Engineer.
10+ Domains Mastery • $10M+ Assets Secured • 0% Failure Rate
> ANALYZING BINARY: target.exe
> IDENTIFIED VULNERABILITY: CVE-2024-XXXX
> REVERSE ENGINEERING TOOLS: IDA Pro, Ghidra, x64dbg
> PATCH GENERATED: exploit_mitigation.patch
> STATUS: MALWARE ANALYSIS IN PROGRESS_
Security Research
Elite vulnerability research, reverse engineering, and exploit development. Specializing in:
- Binary Reverse Engineering (IDA/Ghidra)
- Zero-Day Vulnerability Discovery
- Malware Analysis & Deobfuscation
- Hardware Security Testing
Blockchain Security
Full-stack blockchain development and security auditing for DeFi protocols, NFT marketplaces, and Layer 2 solutions.
- Smart Contract Auditing (Solidity/Rust)
- DeFi Protocol Security
- MEV Protection Strategies
- Cross-Chain Bridge Security
DeFi Protocol ($50M TVL)
SECUREDFixed re-entrancy vulnerability, implemented circuit breaker.
NFT Marketplace
SECUREDPrevented royalty bypass, secured minting logic.
AI & Automation
Developing autonomous agents, ML pipelines, and automation systems for security, trading, and operational efficiency.
Flutter Development
Building secure, high-performance cross-platform applications with Flutter and Dart for iOS, Android, and Web.
- Cross-Platform Mobile Apps
- Secure Mobile Architecture
- Real-time Data Sync
- Mobile Security Hardening
Security Dashboard
iOS/AndroidReal-time threat monitoring with encrypted local storage.
Crypto Wallet
Multi-PlatformSecure key management with biometric authentication.
Financial
Engineering
Secured our $8M DeFi protocol with zero downtime during mainnet launch. Exceptional reverse engineering skills for vulnerability discovery and patch development. The multi-domain expertise is rare and valuable.
Active Engagements
Banking
Malware Analysis
Reverse engineered banking trojan, developed detection signatures, and created remediation tools.
DeFi Protocol
Audit
Comprehensive smart contract audit for $50M TVL protocol, identified critical vulnerability.
Threat
Detection AI
ML model for real-time threat detection with 99.7% accuracy and 14ms inference time.