Pranav Sahni Cybersecurity Enthusiast

As a dedicated Formula 1 enthusiast, I’ve immersed myself in over 30 years of racing history, blending passion with precision. This portfolio borrows the bold colours and dynamic energy of F1 to showcase my journey. “Teams” highlight my professional experience, “Tracks” feature my projects, the “Garage” reveals my skills, and “About” offers a glimpse into my story.

2+
Teams
3+
Tracks Conquered
20+
Car Components
Contact Driver

Racing Teams

Professional teams with whom I've competed and won

1

Research Intern

IIT Jammu
May 2025 - Aug 2025
Completed
🔍
Worked on Android malware analysis using tools like Androguard and Frida, integrating Large Language Models (LLMs) into the workflow to enhance detection and analysis capabilities
🤖
Tested LLMs for code deobfuscation and malicious URL extraction, engineering custom prompts to improve the quality and accuracy of data extraction
Strengthened the malware analysis process by combining traditional security tools with LLMs, helping to identify threats more effectively and efficiently
2

Teaching Assistant

Technology Desk - Centre of Excellence in Educational Technology
Aug 2023 - May 2024
Completed
🐍
Implemented technological integrations and automations using various technologies to streamline academic project workflows, including developing Python scripts that fetch and process project data through the Asana API
🛡️
Configured and deployed a secure web server for a Drupal-based website, ensuring smooth website operation and security compliance
💡
Applied ethical workarounds on free-tier platforms to overcome budget limitations and provided students with access to industry-standard tools, improving overall project efficiency and success

Tracks

Challenging circuits I've conquered with innovative solutions

Hybrid AI Network Intrusion Detection

Developed a hybrid AI solution integrating machine learning and deep learning techniques for network intrusion detection, with real-world deployment capabilities. Designed detection mechanisms and integrated the model with IDS systems to automatically generate robust threat detection rules.

Machine Learning Deep Learning IDS Integration

USB Rubber Ducky

Engineered a penetration testing device using Digispark ATtiny85, capable of injecting keystrokes and automating command execution via a Flask backend. Implemented reverse shell capabilities to facilitate advanced security assessments and exploit automation

Hardware Hacking Flask Penetration Testing

NU Gate Pass

Built a scalable MERN-stack application for digitizing university gate pass management, incorporating dynamic role-based access, streamlined approval workflows, and biometric check-in/check-out for enhanced security and operational efficiency.

MERN Stack Biometrics Role-based Access

Racing Garage

High-performance components powering my cybersecurity machine

Engine Components

🏎️

Programming Languages

Python Java JavaScript SQL Bash

Chassis & Framework

⚙️

Development Frameworks

Node.js Express.js React Flask

Racing Tools

🔧

Cybersecurity Arsenal

nmap Metasploit Nikto Snort Zeek Wireshark Dirbuster Gobuster Yara Ghidra Git Vim

Racing Platforms

🏁

Operating Systems & Platforms

OpenCTI Wazuh GitHub Kali Linux Arch Linux Ubuntu Linux CentOS Linux

Driver Training

Academic preparation and leadership experience

Racing Academy

🏆

B.Tech (Cybersecurity)

NIIT University, Neemrana
2022 - 2026
Specialized Training Modules:
VAPT ISRA Network Security Cloud Security IAM Cyber Forensics Database Security

Leadership Experience

🏃

Coordinator

NU Runs

Fostered a running community with running initiatives and organizing fitness activities for students.

🛡️

Coordinator

Cyber Security Club

Spearheading cybersecurity awareness and organizing technical workshops and CTF competitions.