Vellaturi Lakshmi Subhashini
Professional Summary
Cybersecurity Engineer with 0 years of experience in web application security, secure web development, and vulnerability assessment. Skilled in Django-based web development, ML-based vulnerability detection using Isolation Forest and LightGBM, and hands-on use of Kali Linux and Wireshark. Seeking entry-level roles or internships where I can apply secure coding practices, vulnerability analysis, and cloud fundamentals to improve application security posture.
Technical Skills
Work Experience
- Designed and implemented core backend using Django and REST APIs to support recruiter and freelancer workflows, including job posting, applications, and role-based access control.
- Implemented secure authentication and authorization flows, integrating session management and input validation to mitigate common web risks listed in OWASP Top 10.
- Built recruiter and freelancer dashboards with filtered views and email notification triggers to streamline candidate discovery and communication.
- Developed resume management, profile scoring and badge systems to improve candidate discovery and recruiter filtering using server-side logic in Django.
- Managed version control and collaboration using Git and GitHub; participated in regular mentor reviews, sprint-style progress updates, and final project demonstrations.
- Documented functional behavior and deployment steps for the platform, ensuring reproducible setup for reviewers and future developers.
Projects
- Built a full-stack freelance marketplace connecting recruiters and freelancers with features for job posting, skill-based candidate matching, and role-based access.
- Implemented secure authentication, profile scoring, badges, and recruiter approval workflows to improve platform trust and reduce fraudulent profiles.
- Added AI Assistant integrations and email notification flows to improve user engagement and streamline hiring communication.
- Exposed REST endpoints for client-side dashboards and integrated server-side logic for resume upload, search, and recruiter filtering.
- Developed a machine learning-based system to detect web vulnerabilities from website content, payloads, and source code snippets using Isolation Forest and LightGBM models.
- Integrated automated reconnaissance features including subdomain discovery and port scanning to enrich inputs for vulnerability analysis.
- Generated remediation suggestions for detected issues and combined ML output with rule-based checks to reduce false positives.
- Included an AI Assistant interface to summarize findings and provide actionable next steps for developers and security reviewers.
Education
Certifications
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