Security Researcher | Full Stack Developer | System Builder
Security researcher and software engineer with a Bachelor of Engineering in Software Engineering (First Class Honours) from the University of Westminster and IIT Sri Lanka. Specializing in application security, intrusion detection systems, and full-stack development with expertise spanning cybersecurity, machine learning, and blockchain technologies.
- AIM-IPS: Adaptive Intrusion Prevention System with 5-layer ML pipeline
- ShieldSync: WordPress WAF and intrusion prevention system with autonomous rule generation
- Active research in zero-day detection, threat analysis, and secure system architecture
Backend: Laravel, Django, Flask, Spring, Node.js
Frontend: Next.js, React, Tailwind CSS
Mobile: React Native, Flutter
Databases: PostgreSQL, MongoDB, MySQL, Firebase, Redis
Security & Tools: Kali Linux, Burp Suite, OWASP, Wireshark
ML & Research: Python, TensorFlow, PyTorch, scikit-learn
Blockchain: Solidity, Ethereum, Web3.js
Production-deployed middleware IPS | Live
- 5-layer machine learning pipeline (CNN, LightGBM, temporal correlation)
- Zero-day detection using autoencoder, VAE, One-Class SVM ensembles
- Autonomous MITRE ATT&CK-mapped WAF rule generation
- Sub-10ms threat response with 0-100 risk scoring
Open-source security plugin | Website | Repository
- Pre-initialization firewall (blocks threats before WordPress loads)
- Protection against SQLi, XSS, CSRF, brute force, bot traffic, malicious uploads
- Laravel + PostgreSQL backend with ML-powered anomaly detection
- Crowdsourced global IP reputation network
| Project | Description |
|---|---|
| Cybersecurity-Offensive-Labs | Offensive security lab exercises and penetration testing methodologies |
| AIM-IPS | Adaptive machine learning-based intrusion prevention system |
| Cyber-Security-Scanner | Automated security scanning and vulnerability detection tool |
| ShieldSync Plugin | WordPress WAF and intrusion prevention system |
| Project | Description |
|---|---|
| Print-Bridge | Service tool for the bypass the browser silen printing issue |
| Auto-Moly | Full-stack automation and machine learning application |
| Road-To-Heaven | Full-stack web application with backend service architecture |
| Advanced-Server-Side-Coursework-1 | Enterprise-level server-side architecture and design patterns |
| Horse-Winner-Prediction | Machine learning prediction model using supervised learning |
| Disease-Prediction | ML-based health prediction system with data analysis |
| Project | Description |
|---|---|
| Hela-Craft | Cross-platform mobile e-commerce application |
| Vintage-Lanka | Mobile marketplace for vintage goods with integrated payments |
| Fitness-Mobile-Application | Comprehensive fitness tracking and workout management app |
| Mood-Lift-Mobile-Application | Mental health and wellness mobile application |
- Portfolio: incandescent-lily-61689f.netlify.app
- Email: nipunakaweya@gmail.com
- LinkedIn: Nipuna Prabashwara
- GitHub: Nipun23a
Available for opportunities in: MSc/MPhil Cybersecurity programs (EU, JP, CA, AU) | Security Research | Full Stack Development | AI/ML Engineering