Vignesh Namepally Vignesh Namepally
Open to work0 years experienceCybersecurity Engineer
Cybersecurity Graduate | Security Monitoring & Incident Response
Standing Rank
Rank Not Available
Developer Badges
No badges earned yet
Skills & Technologies
30 skillsGitHub Activity Evidence
GitHub Footprint Not Connected
Recruiters value verified code contributions. Linking a GitHub account displays live heatmaps, active contribution metrics, repository languages, and push activity tags.
Work Experience
Cyber Security Intern
Elevate Labs
- Assisted in monitoring network activity and analyzing security alerts to identify suspicious behavior and potential threats and participated in incident investigation activities through log analysis, event investigation, and documentation.
- Performed network traffic analysis using Wireshark and reconnaissance using Nmap to support security assessments.
- Conducted research on emerging threats, vulnerabilities and attack techniques to improve threat detection capabilities.
- Documented findings, observations and recommendations to improve security posture.
- Collaborated with team members on security assessments and incident analysis activities.
Projects
Web Application Vulnerability Scanner
- Developed a custom vulnerability scanner capable of identifying XSS, SQL Injection, CSRF and Local File Inclusion vulnerabilities.
- Automated payload testing and response analysis using Python.
- Generated PDF reports and exported scan results in JSON format and designed a Flask-based interface for managing security assessments.
Biometric-Based File Encryption System
- Developed a secure file encryption platform using facial recognition for user authentication.
- Implemented AES encryption to protect sensitive files.
- Logged authentication events and file access activities for auditing purposes and combined bio metric verification with encryption to enhance data security.
ML-Based Object Detection System
- Developed an object detection model for automated image classification.
- Trained and evaluated machine learning models using labelled datasets.
- Reduced manual verification effort through automated detection processes.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Achievements Not Earned
Special rewards, developer badges, system recognition certificates, and conceptual milestones will display here.
About Details
Professional Bio
Cybersecurity graduate with hands-on experience in security monitoring, threat detection, incident investigation, and log analysis. Trained in Microsoft Sentinel, Microsoft Defender XDR, and KQL with practical exposure to SIEM-based monitoring and incident response workflows.
B.Tech in Computer Science in Cybersecurity
Sphoorthy Engineering College, Hyderabad (2021 - 2025)
Senior Secondary in Science (MPC-CS)
Kendriya Vidyalaya No.2 (2019 - 2021)
Secondary School in Science
Kendriya Vidyalaya No.2 ( - 2019)