Cybersecurity enthusiast with hands-on experience in Python, networking, and malware analysis, skilled in identifying security threats and analyzing malicious PDF files. Experienced in applying cybersecurity concepts through practical projects, including static and dynamic malware analysis, vulnerability assessment, and secure web application development. Passionate about protecting systems, analyzing cyber threats, and building secure, real-world solutions.

College Projects
PDF Malware Analysis System,

Tech Stack: Python, peepdf, pdfid, VirusTotal API, Flask, HTML/CSS January 2025

Developed a cybersecurity-focused application to analyze suspicious PDF files and detect potential malicious content.

Implemented static analysis techniques using tools like pdfid and peepdf to identify embedded JavaScript, suspicious objects, and obfuscated code within PDF documents.

Integrated malware detection workflows to scan and classify harmful PDF behaviors for security analysis.

Generated detailed security reports highlighting indicators of compromise (IOCs), suspicious elements, and risk levels.

Improved understanding of malware analysis, PDF structure vulnerabilities, and threat detection methodologies through practical implementation.

Snap&Report-Parking violation Reporting System (Group project),

Tech Stack: NodeJS, HTML, CSS, JavaScript, GitHub Actions

Built a web app with team collaboration that capture live images and real-time

location of parking violations using webcam and Google Maps API. Automated

deployment using GitHub Actions.

Demonstrated full-stack development and DevOps automation to address a real- world civic problem.