
Passionate about cybersecurity and seeking an opportunity in a progressive organization that fosters growth and innovation, allowing me to enhance my knowledge and skills while making meaningful contributions to the field of computer science.
worked as an intern in deep learning at CITD
This project aims to design a robust and automated solution for detecting malware in a cross-operating
system environment. The system utilizes a Linux virtual machine (VM) to scan files from a Windows
host, leveraging the Linux environment's stability and open-source security tools. By employing Bash
scripting, the project automates the processes of mounting shared folders, accessing Windows files, and
performing malware scans using tools such as ClamAV.
The script ensures seamless integration between the Linux and Windows systems, enabling file transfer,
scanning, and reporting. This approach provides an efficient, low-cost method for detecting and logging
malware without the need for dedicated software on the Windows system. Potential applications include
malware analysis, cybersecurity education, and forensic investigations. The project underscores the
power of open-source tools in addressing contemporary cybersecurity challenges.
Learning new programming languages
Reading daily news papers and articles
Reading science fiction and tech articles