status: interactive_
Praveen Neshamani
Cyber Security Intern • Pre-Final Year CSE Student • Aspiring SOC Analyst • Building Foundations in Full-Stack Development
//“If you want to crack the system, first understand the system”
Computer Science Engineering student with a strong interest in Cybersecurity and hands-on experience in Linux, networking fundamentals, and security tools. Currently advancing through SOC L1 training while building modern full-stack applications and AI-powered solutions.
ABOUT_
I am a Computer Science Engineering student passionate about Cybersecurity, Network Security, and Secure Software Development.
PRIMARY INTERESTS:
I enjoy building practical projects that solve real-world problems, ranging from AI-powered adaptive learning systems and researching Graph Neural Network-based intrusion detection solutions collaborated with Ariel University, Israel. Alongside cybersecurity, I continuously explore modern web technologies, AI integrations, and scalable software architectures.
CAREER & EDUCATION // STACK
Full Stack Development Intern
Benchmarrk • Coimbatore
- >Contributed to real-world full-stack development projects and application architecture.
- >Assisted in engineering scalable web applications with modern frontend and backend tooling.
- >Collaborated in a professional software development environment adhering to agile code reviews.
Cyber Security Intern
Cyber Security Trainee • Remote
- >Operated within Linux-based security environments, configuring network packet analysis tooling.
- >Performed hands-on vulnerability assessments, baseline anomaly detection, and threat analysis.
- >Studied enterprise attack vectors, mitigation playbooks, and security operations center workflows.
Bachelor of Engineering (Computer Science Engineering)
Sri Ramakrishna Engineering College • Coimbatore, Tamil Nadu
- >Pre-final year undergraduate coursework in Data Structures, Algorithms, Operating Systems, and Cryptography.
- >Conducting ongoing research on Graph Neural Networks (GNNs) for distributed denial-of-service (DDoS) detection.
- >Active participant in collegiate cybersecurity challenges and development competitions.
Higher Secondary Education (HSC)
Bharatiya Vidya Bhavan's Vidya Mandir • Coimbatore, Tamil Nadu
- >Focused curriculum in Computer Science, Mathematics, Physics, and Chemistry.
- >Built early foundational competency in procedural programming, algorithm design, and computational logic.
- >Graduated with strong academic standing in higher secondary board examinations.
TECHNICAL_CAPABILITIES
Programming Languages
Cybersecurity
Top 3% on TryHackMeSecurity Tools
Web Development
AI & Machine Learning
Soft Skills
FEATURED_PROJECTS
Security tools, intrusion detection engines, and full-stack systems.
DDoS Detection and Network Classification Using GNN
Aug 2025 – Mar 2026
A Graph Neural Network-based cybersecurity system that detects DDoS attacks by analyzing network traffic patterns and classifying malicious behavior in real time. Developed with protocol-branched message passing, heuristic validation, and sub-millisecond inference for live SOC monitoring.
CERTIFICATIONS_&_AFFILIATIONS
PROFESSIONAL MEMBERSHIPS & CREDENTIALS
CURRICULUM_VITAE
Condensed professional summary with downloadable verified PDF.
Praveen Neshamani
Coimbatore, Tamil Nadu, India • praveenneshamani@gmail.com
EXPERIENCE SUMMARY
Full Stack Dev Intern
Benchmarrk • Jun 2026
Cyber Security Intern
Remote • Oct–Nov 2025
EDUCATION
B.E. CSE
Sri Ramakrishna Engineering College
2024 – Present
HSE
Bharatiya Vidya Bhavan's
2022 – 2024
CORE COMPETENCIES
SOC L1 Operations, Network Traffic Analysis, GNN DDoS Detection, Linux Hardening, Full-Stack Development.
COMMUNICATION_CHANNELS
Direct lines of communication for recruiters, leads, and collaborators.
praveenneshamani@gmail.com
Preferred for interview scheduling, technical inquiries, and opportunities.
+91 94001 66179
Available for phone screens and urgent hiring correspondence.
Coimbatore, Tamil Nadu, India
Open to on-site, hybrid, and remote cybersecurity/SOC roles.