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ankamteja/README.md

Ankam Charan Teja

Offensive Security | Web App Penetration Testing | CYS Student at Amrita Vishwa Vidyapeetham

Undergraduate specializing in Cyber Security

HTB CPTS

📁 Featured Repositories

Repository Focus & Technical Stack
🛰️ air-gapped-mpls-copilot Air-gapped predictive MPLS network copilot built for ISRO BAH 2026. Offline LLM inference via Mistral 7B (Ollama), LSTM+GAT anomaly detection, SD-WAN overlay on MPLS underlay, Containerlab/FRR simulation.
🔍 Vulnerability-Assessment-Case-Study Independent passive security assessment and responsible disclosure for a public-sector web application. 6 vulnerabilities found (1 Critical, 3 High, 2 Medium). Disclosed to CERT-In (CERTIn-74835826).
🧠 network-intrusion-detection Machine learning pipeline evaluating NSL-KDD & UNSW-NB15. Implements PCA/LDA dimensionality reduction with Random Forest, SVM, and KNN classifiers.
🔒 CyberStegoApp Android steganography application utilizing AES-256 encryption. Features active session controls, a native shake-to-delete mechanism, and internal logging.

📝 Documentation & Technical Writing

📊 Profiles & Contact

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  1. Write-Ups Write-Ups Public

    CTF & Security Writeups

  2. air-gapped-mpls-copilot air-gapped-mpls-copilot Public

    Project Aether: An autonomous, air-gapped AI NOC Copilot for secure MPLS operations. It combines stochastic ML predictions with deterministic graph validation to predict and mitigate network failur…

    Python

  3. Vulnerability-Assessment-Case-Study Vulnerability-Assessment-Case-Study Public

    Independent passive security assessment and responsible disclosure for a public-sector web application.

  4. CyberStegoApp CyberStegoApp Public

    A secure Android steganography app with AES encryption, shake-to-delete evidence, and activity logging.

    Java

  5. network-intrusion-detection network-intrusion-detection Public

    Network Intrusion Detection using ML

    Jupyter Notebook

  6. multimedia-image-processing multimedia-image-processing Public

    Python implementation of image processing techniques — color quantization, compression, tone mapping, and spatial filtering.

    Python