SYSTEM_STATUS: ACTIVE // ROLE: CYBERSECURITY RESEARCHER // MCA GOLD MEDALLIST (9.84 CGPA)
CURRENT_FOCUS: ENDPOINT DETECTION & RESPONSE // NETWORK THREAT DETECTION // MALWARE ANALYSIS

Cybersecurity Researcher and Gold Medallist (MCA) with a strong foundation in network security and systems programming. I build C++ packet-capture pipelines and real-time network monitoring, behavior-based endpoint detection & response (EDR) agents, and deep learning models for malware classification — plus the occasional full-stack side project.

• 🏆 Accolades: Postgraduate Gold Medallist (College Topper) with a 9.84 / 10.0 CGPA.
• 🔬 Academic Services: Peer-reviewer and journal reviewer for Scopus-indexed publications (BEEI, IJEECS).

Languages:    [ C ]  [ C++ ]  [ Python ]  [ TypeScript ]  [ JavaScript ]  [ SQL ]  [ Solidity ]  [ Java ]
Frameworks:   [ Node.js / Express ]  [ Electron ]  [ Flask ]  [ Django ]  [ Keras / TensorFlow ]  [ Scapy ]  [ Pandas ]
Systems:      [ libpcap ]  [ SQLite ]  [ Supabase ]  [ Vercel ]  [ Sysmon / Win32 Event Log ]
Security:     [ Linux (Kali/Ubuntu) ]  [ Wireshark ]  [ Nmap ]  [ Burp Suite ]  [ Ghidra ]  [ MITRE ATT&CK ]

Security

• 🛡️ vanguard: Full-stack Endpoint Detection & Response (EDR) system — a Win32 agent with Sysmon telemetry, a CNN-LSTM behavior classifier, active process termination and remediation, synced to a central Flask security console.
• 📡 FlowSight: Real-time network flow monitoring. A C++ libpcap sniffer feeds a TypeScript server with inline detection engines, tiered SQLite packet/flow storage, and a 17-page live dashboard (alerts, DDoS, UEBA, MITRE ATT&CK coverage, forensics).
• 🔐 passlock: Cross-platform Electron password manager with an AES-256-GCM local vault, one-click SSH (ProxyJump chains), and token-authenticated browser autofill.
• 🔍 Network-Scanner: Modular CLI network reconnaissance toolkit using Scapy ARP requests to discover hosts where ICMP is blocked.

Research & Web

• 📚 scholastic: Open research workspace — federated search across nine scholarly sources, a PDF copilot that cites its page, evidence matrices, and a citation-guarded manuscript and deck writer.
• 🌍 seismograph: Earthquake globe with aftershock sequence analysis, worldwide aftershock forecasts, and a public hash-chained forecast scoreboard.
• 🕵️ science-of-deduction: A Sherlock Holmes site in five rooms, with AI-powered deduction and a 3D walk through 221B Baker Street — live.
• 🎓 blockvarsity: Proof-of-concept decentralized education and certification platform implementing the dual-token incentive architecture from my ICICCS 2023 paper.

1. "CNN-LSTM Hybrid Model for Enhanced Malware Analysis and Detection"
   G. Karat, J. M. Kannimoola, N. Nair, A. Vazhayil, S. V. G, & P. Poornachandran
   Procedia Computer Science, Volume 233, 2024, Pages 492-503 (Scopus Indexed).
2. "Anomaly Detection in IoT Network Using SDN Principles"
   A. M, N. Nair, G. Karat, S. V. G, & P. Poornachandran
   5th IEEE International Conference on Electronics and Sustainable Communication Systems (ICESC), 2024.
3. "Revolutionizing Education: Blockchain-Based Incentive Systems"
   G. Karat & J. M. Kannimoola
   7th IEEE International Conference on Intelligent Computing and Control Systems (ICICCS), 2023.

• 📧 Secure Mail: gautamkarat@gmail.com
• 🔗 LinkedIn Portal: linkedin.com/in/gautam-karat
• 🐙 GitHub Node: github.com/novicecoder10