Cybersecurity Engineer & Security Researcher

Defend What
Cannot Be
Compromised.

M.Tech Information Security candidate at CET, working across vulnerability assessment, threat detection, and applied ML.

View case files 📄 Download Resume parthanva3@gmail.com
M.Tech
Information Security · CET
5+
Security & ML projects shipped
Kerala, IN
Based in Trivandrum
profile

About

I'm a Computer Science graduate currently pursuing an M.Tech in Information Security at the College of Engineering Trivandrum (CET). My focus sits at the intersection of offensive security, defensive engineering, and applied AI.

Hands-on, I've run VAPT and network reconnaissance with Nmap, worked through Kali Linux tooling, and triaged alerts through SIEM and log analysis during a cybersecurity internship. On the AI side, I've used machine learning to harden biometric authentication against spoofing, and built a Python-based threat detection pipeline that ties together scanning, traffic analysis, and monitoring dashboards.

I'm looking for oppurtunities in cybersecurity, SOC analysis, Security Engineering, and related domains or software development — somewhere I can keep learning while contributing to real problems.

Portrait of Parthan VA
stack

Skills

Languages

  • Python
  • Java
  • HTML / CSS
  • SQL (MySQL)

Security

  • Network Security
  • VAPT
  • Nmap / Wireshark
  • Cryptography

Tooling

  • Kali Linux / Ubuntu
  • Docker
  • ELK Stack
  • SIEM
activity log

Experience

JUN 2026 — JUL 2026
Cybersecurity Intern
Srishti Innovative
  • Performed VAPT and network reconnaissance using Nmap
  • Worked with Linux / Kali Linux for vulnerability assessment and penetration testing
  • Gained hands-on experience in SIEM, log analysis, and threat monitoring
  • Prepared security assessment reports
VAPTNmapSIEMKali Linux
JUN 2024 — JUL 2025
Process Associate
Ecesis
  • Managed daily operational tasks while maintaining high accuracy and quality standards
  • Monitored and processed email communications from international clients
  • Reviewed and prioritized incoming emails while maintaining quality and service standards
OperationsNewbie of the QuarterEmployee of the Quarter
case files

Projects

Python-based threat detection system integrating network scanning, traffic analysis, firewall monitoring, and SIEM dashboards into one workflow — reducing manual correlation across separate tools.

Stack
Python, ELK Stack, Nmap, Wireshark
Environment
Docker, Ubuntu, Kali Linux
Function
Detection & monitoring

AI-based biometric anti-spoofing system using frequency-domain liveness detection paired with Honey Encryption to protect biometric data against presentation attacks.

Stack
Python, TensorFlow, OpenCV
Technique
Liveness detection, Honey Encryption
Function
Biometric security

Applied K-Means clustering to compress digital images while preserving visual quality, reducing the effective color palette with minimal perceptible loss.

Stack
Python, NumPy, Scikit-learn, OpenCV
Technique
Unsupervised clustering
Function
Media compression

Machine learning model classifying SMS messages as spam or legitimate using the Naïve Bayes algorithm — a practical text-classification pipeline for message filtering.

Stack
Python, Scikit-learn, Pandas
Technique
Naïve Bayes classification
Function
Text filtering

Web-based employee management system for handling employee records and attendance, built on a relational data model.

Stack
Java, MySQL, HTML, CSS
Technique
CRUD over relational DB
Function
Records management
credentials

Certifications

AWS — add credential
Oracle — add credential
NPTEL — add credential
Cisco — add credential
get in touch

Open to cybersecurity, SOC, & software roles.

Reach out directly — I usually reply within a day.

Email me LinkedIn GitHub Instagram 9846796246