Engineering intelligent defensive systems where data meets detection.
I design and build security-first systems that operate at the intersection of:
- 🛡️ Network Intrusion Detection & Threat Engineering
- 🤖 Machine Learning for Anomaly & Behavioral Analysis
- 📊 Intelligence Dashboards & Large-Scale Data Systems
- 🌐 Secure, Production-Ready Full-Stack Architectures
Core principles:
Security-first design • Explainable AI • Clean architecture • Real-world applicability
Python • JavaScript • SQL • C#
Scapy • Snort • XGBoost • LSTM • SHAP • Scikit-learn • Threat Modeling
Flask • Node.js • Express • REST APIs
React • Plotly • Analytical Dashboard Engineering
MongoDB • MySQL • Azure • Kali Linux • Git
- 10-model ML/DL ensemble architecture
- 99%+ validation accuracy
- SHAP-based explainability layer
- Real-time monitoring dashboard
- 93,000+ records analyzed
- District-level & time-series intelligence
- Policy-ready reporting system
- Azure deployment
- Heuristic + ML layered detection
- Browser-level credential protection
- Security-focused UI design
- Authentication & protected routes
- Clean API structure
- Scalable application logic
- CEH v13 — EC-Council
- EC-Council CTF Global Rank 113 / 3,235
- Data Science (NSDC)
- Advanced anomaly modeling
- SOC-aligned alert engineering
- Detection rule optimization
- Research-oriented system refinement
📧 Email: MandarKajbaje@gmail.com
💼 Portfolio: https://mandarkajbaje-portfolio.netlify.app/
He / Him
I design systems, debug architectures, analyze live network traffic,
and ship intelligence dashboards — all while vibing to Lofi beats 🎧
Productivity Mode: ON 🚀