Vansh Jayant

Motivated BTech student in Information Technology with hands-on experience in AI/ML, cybersecurity, and applied research through internships and project work. Strong interest in cybersecurity, cloud computing, explainable AI, and intelligent systems, with practical exposure to intrusion detection, acoustic surveillance, document intelligence, computer vision, and privacy-focused analysis.

• Gaming
• Bike Touring
• Music

• XAI-IDS: Built an explainable intrusion detection system using XGBoost and Random Forest to classify suspicious network behavior with interpretable predictions.
• Acoustic Surveillance & Sound Classification: Developed a CNN/DNN-based audio classification pipeline with FAISS retrieval and LLM-assisted analysis for surveillance use cases.
• Document Classification & PDF Redaction: Automated document categorization and privacy-aware PDF redaction pipelines for sensitive-content handling.
• Zero-Trace Analysis: Designed secure processing workflows to minimize residual exposure of sensitive data.
• Real-Time Traffic Sign Recognition: Built a real-time computer vision system to detect and classify traffic signs, optimized for accuracy and low latency.

• English
• Hindi