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Security Analyst with 5+ years in Application Security & AI/LLM Security
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Security professional with 5+ years of experience in application security, penetration testing, and vulnerability management, with deep specialization in AI/LLM and agentic security. Skilled in adversarial testing of GenAI systems - prompt injection, jailbreaking, data poisoning - mapped to OWASP LLM Top 10 and MITRE ATLAS. Strong foundation in SAST, DAST, web and manual penetration testing, and partnering with engineering teams to remediate real-world risk.
Vellore Institute of Technology (VIT)
B.Tech · Mechanical Engineering
August 1, 2015 – June 30, 2019
Accenture
Security Analyst
May 1, 2021 – Present
India
AI Security - GenAI & Agentic Red Teaming
January 1, 2024 – June 1, 2026
Tested Copilot agents against OWASP LLM Top 10 - adversarial prompt and jailbreak testing, reproducing realistic attack chains to assess business impact and data-exposure risk. Mapped AI attack techniques (prompt injection, jailbreaking, data poisoning) to MITRE ATLAS; integrated agents with Microsoft Defender for continuous monitoring and false-positive analysis.
Application Security Assessment - Web Pen Testing
January 1, 2021 – December 31, 2024
Performed black-box and grey-box testing for web and API applications using Burp Suite, Postman, Nmap, SQLmap, Metasploit, and Wireshark; documented findings with clear PoCs and fix guidance. Built and managed SAST sandboxes for C#, Java, Python, and JavaScript; integrated SAST into CI/CD pipelines with secure code reviews for continuous code-level security.
Certified Ethical Hacker (CEH v12)
EC-Council
June 1, 2026 – Present
API Security Architect
API Academy
June 1, 2026 – Present
Microsoft Security, Compliance & Identity Fundamentals (SC-900)
Microsoft
June 1, 2026 – Present
Google Cloud Associate Cloud Engineer (ACE)
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with diverse security domains (AI security, application security, penetration testing, vulnerability management, governance) and a wide range of tools indicates adaptability and a broad interest in the security landscape. Their work on red-teaming and adversarial testing suggests a proactive and challenging mindset, which can be a strong cultural fit for organizations focused on advanced threat detection and prevention. The project diversity and the alignment with a 'Security Analyst' target role are excellent. The candidate's education in Mechanical Engineering followed by a career in cybersecurity demonstrates a strong aptitude for learning and career transition, indicating resilience and a growth mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their detailed project descriptions, particularly in reproducing attack chains and building tailored threat alerts. Their experience in leading SAST/DAST engagements and implementing governance suggests a proactive and structured approach to security. The ability to integrate security into CI/CD pipelines and build Power BI dashboards indicates a focus on operational efficiency and reporting. The candidate's work on red-teaming and adversarial testing points to a strong analytical and critical thinking mindset, essential for a senior security analyst role.