MANOJ S

Cybersecurity undergraduate · VAPT and network security enthusiast

Coimbatore, Tamil Nadu, India

@manoj_s

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🎓 B.E. Computer Science Engineering (Cyber Security) at Dr. NGP Institute of Technology · Graduating 2027

About

Cybersecurity undergraduate pursuing a B.E. in Computer Science with a specialization in Cyber Security. Hands-on experience in ethical hacking, vulnerability assessment, penetration testing, and network security, with interests in digital forensics, threat analysis, incident response, and cybersecurity operations.

Experience

Full Stack Cyber Security Practitioner

Infoziant

2026 – —

Conducted VAPT on web applications using Burp Suite and Kali Linux, identifying and documenting 5+ critical vulnerabilities including SQLi and XSS with remediation reports. Practised full-stack security workflows covering offensive testing, log review, and security hardening aligned with OWASP Top 10 standards.
Cyber Security & Ethical Hacking Intern

Hackup Technologies

2025 – —

Executed structured ethical hacking exercises across reconnaissance, exploitation, and post-exploitation phases using industry-standard attack tools, strengthening real-world offensive security skills. Performed network enumeration and vulnerability scanning on controlled lab environments, producing structured incident and threat reports for each engagement.

Education

B.E. Computer Science Engineering (Cyber Security)

Dr. NGP Institute of Technology

Cyber Security · 2027

Skills

1 to 2 years

Cybersecurity

6 to 12 months

VAPT Web Security API Security Threat Analysis

<3 months

Java Flask Python OpenCV scikit-learn OWASP Top 10 Machine Learning Model Evaluation Anomaly detection Prompt Engineering API Integration Understanding

Tools / apps / platforms

6 to 12 months

Burp Suite Kali Linux

<3 months

Git Nmap Linux Postman Wireshark Metasploit Splunk Enterprise

Projects

Shadow IT Detection System Using Network Metadata Analysis

Python, NLP, Flask, Web Scraping, Zeek

Developed a real-time Shadow IT detection framework using Python and Zeek to analyze encrypted network metadata, including IPs, domains, TLS SNI, protocols, and session patterns. Implemented rule-based threat detection, automated firewall enforcement, and security event logging to identify unauthorized SaaS usage while preserving network privacy.
API Call Sequence Abuse Detection System

Python, Scapy, Isolation Forest, Flask

Developed a backend API security system using Python and Flask to monitor user-specific API request sequences and detect abnormal application workflow behavior. Implemented rule-based anomaly detection, request logging, and real-time blocking to prevent API misuse such as unauthorized workflow sequences.
Driver Drowsiness Detection System

Python, Splunk, Tor, NLP, OpenCV, SVM

Developed a real-time driver drowsiness detection system using Python, OpenCV, SVM, and facial landmark detection to analyze eye closure, yawning, and head movement. Implemented EAR and PERCLOS metrics with real-time audio alerts to identify fatigue and enable timely driver intervention.

Courses & certifications

Practical Cybersecurity for Cybersecurity Practitioners · NPTEL
Privacy and Security in Online Social Media · NPTEL
Introduction to Industry 4.0 and Industrial Internet of Things · NPTEL
Full Stack Cyber Security Practitioner Program · Infoziant

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