Cybersecurity Professional & Full-Stack Developer
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Rupesh Khadka
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Young Malware Researcher skilled in reverse engineering, ethical hacking, VAPT, and AI-driven cybersecurity. Certified Ethical Hacker (CEH), Cyber Analyst, and Full-Stack Developer with 5+ years of experience building secure, scalable, and innovative digital systems. Creative Technologist passionate about blending security, design, and innovation.

Malware Researcher Machine Learning Engineer Ethical Hacker VAPT Specialist Cyber Analyst Full-Stack Developer System Analyst Creative Technologist Photographer Videographer Researcher in Cybersecurity & AI
Rupesh Khadka
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About Me

0 Years Experience
0 Projects Completed
0 Security Audits
0 CTF Competitions

I'm Rupesh Khadka, a young malware researcher with a deep curiosity for how things work beneath the surface—especially when it comes to code and systems. My focus lies in reverse engineering, exploit analysis, and detection evasion techniques, where I constantly seek to uncover hidden threats and develop smarter ways to defend against them.

Alongside my work in cybersecurity, I'm building my expertise as a machine learning engineer. I explore how machine learning models can be used for malware detection, behavioral analysis, and proactive threat mitigation. This intersection of AI and security drives much of my current research and learning.

I have a strong foundation as a cybersecurity professional with hands-on experience in ethical hacking, penetration testing, and participating in CTF (Capture The Flag) competitions. These experiences sharpened my problem-solving skills and deepened my understanding of real-world attack vectors.

2019 - Present
Full-Stack Developer & System Analyst
Designed, built, and maintained scalable systems with focus on performance, security, and user experience. Specialized in both frontend and backend development.
2022 - Present
Malware Researcher & ML Engineer
Focused on reverse engineering, exploit analysis, and machine learning applications in cybersecurity for threat detection and mitigation.
2021 - 2022
Quality Assurance Specialist
Gained practical skills in test planning, performance validation, and bug tracking, enhancing attention to detail and system reliability.
2020 - Present
Digital Marketing & Content Creator
Created engaging bilingual content, educational posts, and technical videos while contributing to SEO strategy and brand promotion.

Research Publications

01
Published

Malware Classification Using ML (Extra Tree and Logistic Regression)

Rupesh Khadka
Advanced machine learning approach for malware classification utilizing Extra Tree and Logistic Regression algorithms to enhance detection accuracy and reduce false positives in cybersecurity systems.
Machine Learning Malware Detection Extra Tree Logistic Regression Cybersecurity
02
Published

Multi-Layered Cyber Defense: Combining AI-Based Malware Classification, Server Monitoring, and Penetration Testing (Extra Tree Logistic Regression)

Rupesh Khadka, Prajwal Rai, Bibek Gautam
aPadmashree College, Nilai University
bKantipur City College, Purbanchal University
cPulchwok Campus, Tribhuvan University
Comprehensive study integrating malware classification techniques with server monitoring systems and penetration testing methodologies using advanced machine learning algorithms for enhanced cybersecurity infrastructure.
Server Monitoring Penetration Testing Malware Classification ML Algorithms Cybersecurity Infrastructure
03
Under Review

Cybersecurity and Cognitive Threat Detection in Smart Healthcare Systems

Rupesh Khadka, Prajwal Rai
aPadmashree College, Nilai University
bKantipur City College, Purbanchal University
Novel approach to cybersecurity in smart healthcare systems incorporating cognitive threat detection mechanisms to protect sensitive medical data and ensure patient privacy in IoT-enabled healthcare environments.
Smart Healthcare Cognitive Threat Detection IoT Security Medical Data Protection Healthcare Cybersecurity
04
Under Review

AI-Driven Threat Intelligence for Proactive Cyber Defense using Federated Learning

Rupesh Khadka, Prajwal Rai, Nikhil Raut
Advanced reinforcement learning framework combined with federated learning techniques for proactive cyber defense, enabling distributed threat intelligence sharing while maintaining data privacy and improving collective security posture.
Reinforcement Learning Federated Learning Threat Intelligence Proactive Defense AI Security Distributed Systems
4
Research Papers
1
Published
3
Under Review
6
Research Areas

Research Focus Areas

Machine Learning in Cybersecurity

Advanced ML algorithms for threat detection and malware classification

Healthcare Security

Cybersecurity solutions for smart healthcare and IoT medical devices

Cognitive Threat Detection

AI-driven cognitive approaches to identify and mitigate cyber threats

Federated Learning Security

Distributed learning systems for collaborative threat intelligence

Penetration Testing

Advanced penetration testing methodologies and automation

Server Monitoring

Real-time server monitoring and anomaly detection systems

Projects

🛡️

Advanced Malware Detection System

Machine learning-based malware detection system using behavioral analysis and static analysis techniques.

Python TensorFlow Scikit-learn Yara
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Penetration Testing Framework

Comprehensive penetration testing framework with automated vulnerability scanning and reporting.

Python Bash Nmap Metasploit
🛒

Secure E-Commerce Platform

Full-stack e-commerce platform with advanced security features and payment integration.

JavaScript Node.js React MongoDB
📊

Network Traffic Analyzer

Real-time network traffic analysis tool with anomaly detection and security monitoring.

Python Wireshark Scapy Flask
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Cryptocurrency Portfolio Tracker

Full-stack cryptocurrency portfolio management with real-time price tracking and analytics.

PHP MySQL JavaScript Chart.js
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Reverse Engineering Toolkit

Collection of tools for malware reverse engineering, binary analysis, and exploit development.

Python C++ Assembly IDA Pro
🎯

Advanced Nmap Scanner

Custom Nmap automation tool with advanced scanning techniques and vulnerability detection.

Python Nmap XML Parsing SQLite
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MSF Payload Generator

Automated payload generation and deployment system using Metasploit Framework and MSFvenom.

Metasploit MSFvenom Ruby Bash
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Wireshark Traffic Analyzer

Advanced network packet analysis tool with automated threat detection and protocol analysis.

Wireshark Python Scapy TShark

Skills

Cybersecurity & Ethical Hacking

Penetration Testing
3+ years experience
Malware Analysis
2+ years experience
Network Security
3+ years experience

Penetration Testing Tools

Nmap
4+ years experience
Metasploit Framework
3+ years experience
Wireshark
3+ years experience
Burp Suite
3+ years experience

Exploitation & Analysis

Hydra
2+ years experience
Hashcat
2+ years experience
John the Ripper
2+ years experience
MSFvenom
2+ years experience

Operating Systems & Environments

Kali Linux
4+ years experience
Parrot Security OS
2+ years experience
BlackArch Linux
1+ years experience
WSL2 & Ubuntu
3+ years experience

Machine Learning & AI Security

TensorFlow
2+ years experience
Scikit-learn
2+ years experience
PyTorch
1+ years experience
YARA Rules
2+ years experience

Programming Languages

Python
4+ years experience
JavaScript
5+ years experience
PHP
4+ years experience
C++
3+ years experience

Web Application Security

OWASP Top 10
3+ years experience
SQL Injection
3+ years experience
XSS & CSRF
3+ years experience
Directory Traversal
2+ years experience

Advanced Hacking Tools

Aircrack-ng
2+ years experience
Nikto
2+ years experience
Gobuster
2+ years experience
SQLmap
3+ years experience

Web Development

React
3+ years experience
Node.js
3+ years experience
MySQL
4+ years experience
MongoDB
2+ years experience

Contact

Get In Touch

📧 russellkshetri@gmail.com
📱 +977 9866555315
📍 Kathmandu, Nepal
💼 Available for freelance
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