🔐 Cybersecurity • 🤖 Machine Learning • 🛡️ Security Research

I am a B.Tech Computer Science & Engineering graduate with a strong interest in cybersecurity, security operations, vulnerability analysis, and AI-driven security solutions.

I enjoy building practical security solutions using Machine Learning, Deep Learning, network security tools, and Linux-based environments.

• 🎓 B.Tech in Computer Science & Engineering 2026 — CGPA: 8.72
• 🔐 Interested in Cybersecurity, SOC Operations & Vulnerability Management
• 🤖 Security Research using GNNs, Transformers & Deep Learning
• 🐧 Comfortable with Linux, Python & Bash/Shell scripting
• 🌐 Hands-on exposure to network security, packet analysis & honeypots
• 🔎 Currently learning GRC, SIEM & Vulnerability Scanning
• 📍 Open to relocation

A deep learning pipeline for detecting suspicious authentication activity and user-behaviour anomalies.

Tech: Python • PyTorch • PyTorch Geometric • GATv2 • Transformer • SMOTE • Polars

Results:

• F1 Score: 0.89
• Recall: 0.92
• MCC: 0.86
• Extreme class imbalance: 1 : 221,766

👉 Repository: ato-detection-gnn-transformer

A multi-architecture study for detecting vulnerabilities in C/C++ source code using graph-based and transformer-based deep learning approaches.

Architectures:

• Cross-Model Learning — GCN + CodeBERT
• Heterogeneous Graph Neural Network (HGNN)
• Kolmogorov-Arnold Network (KAN)

Tech: Python • PyTorch • PyTorch Geometric • HuggingFace Transformers • Tree-sitter

Results:

• Cross-Model: 79% F1 / 92% AUC on BigVul
• HGNN: 72.3% F1 on Devign
• KAN: 71.2% F1 on ReVeal

👉 Repository: software-vulnerability-detection

A multimodal text detection system combining semantic, character-level, phonetic and metadata features.

Tech: Python • PyTorch • DistilBERT • Char-CNN • Gradio

Result:

• Accuracy: 96.25%

The model was designed to handle obfuscated text including leetspeak and character-substitution attacks.

👉 Repository: GPCFNet-Toxic-Text-Detector

NIT Kurukshetra — MeitY-sponsored ISEA Project Phase III

Worked on:

• Account Takeover detection
• User-behaviour anomaly detection
• Software vulnerability detection
• Authentication log analysis
• Graph-based deep learning for security research

NIIT Foundation — Cisco-supported

Worked with:

• Cisco Packet Tracer
• WPA2 wireless security
• MAC filtering
• Network security fundamentals
• Firewalls
• AI-based threat detection concepts

Cyber Gyan Virtual — C-DAC Noida

Hands-on exposure to:

• Cowrie Honeypot
• SSH/Telnet environments
• Brute-force detection
• Intrusion pattern analysis
• Security log analysis
• SOC-level monitoring workflows

Network Security Vulnerability Analysis Authentication Access Control Encryption Firewalls VPN CIA Triad Threat Monitoring

Wireshark Nmap Cisco Packet Tracer Cowrie Honeypot VirusTotal

PyTorch PyTorch Geometric GNN GATv2 Transformers HuggingFace DistilBERT NLP

Python Bash Linux Windows

SQL NumPy Polars Matplotlib Git GitHub

🔹 GRC Fundamentals
🔹 ISO 27001
🔹 NIST Frameworks
🔹 SIEM Fundamentals — Splunk / ELK
🔹 Vulnerability Scanning — Nessus

• 🥇 1st Position — IEEE Day 2023, University-level Technical Poster Competition
• 💡 Smart India Hackathon 2024 — Proposed a cybersecurity solution for real-time incident visibility
• 🔐 National Workshop on Information Security 2026 — NIT Kurukshetra
• 🎨 Design Head — ByteCode Learners Club (2023–24)

• 🔐 Cybersecurity & Security Operations
• 🛡️ Vulnerability Detection & Threat Analysis
• 🤖 AI/ML for Cybersecurity
• 🌐 Network Security & Monitoring
• 🧠 Graph Neural Networks & Transformers
• 📋 GRC, SIEM & Vulnerability Management