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Laxmi Singh

@laxmisingh4

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Cybersecurity and AI/ML student who built an interpretable malware detection system using XGBoost and SHAP.

India

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What I'm looking for

I'm eager to contribute to cybersecurity and artificial intelligence projects, building security-first AI solutions for real-world threat detection and prevention.

I built an independent AI-based malware detection system that classifies PE files as malware or benign. Its XGBoost pipeline uses opcode and API-call features, and SHAP helps make predictions transparent and interpretable.

I also developed an independent facial recognition and spoof detection system with liveness checks for eye-blink and head movement. I built a Flask application for real-time webcam processing with OpenCV and CNN models.

Experience

Work history, roles, and key accomplishments

Face Recognition & Spoof Detection System

Independent Project

Developed an AI-based biometric authentication system with liveness detection using eye-blink and head movement monitoring, and built a Flask web application with real-time webcam processing using OpenCV and CNN models.

Computer Vision OpenCV CNN Flask Python biometric authentication

AI-Based Malware Detection System

Independent Project

Built machine learning models using an XGBoost-based pipeline to classify PE files as malware or benign, integrating reverse engineering concepts and Explainable AI (SHAP) for transparency.

Machine Learning XGBoost Reverse Engineering SHAP Cybersecurity Python