
Parth Shethia
@parthshethia
I build automated application security pipelines and uncover high-impact web and API vulnerabilities.
What I'm looking for
At JioStar, I built a four-stage AppSec pipeline that reduced end-to-end security testing from five days to around one hour through automated SAST, DAST, validation, and AI-guided testing in CI/CD.
I've identified 100+ validated vulnerabilities, including 75+ High/Critical findings, across web and API penetration-testing engagements. I deliver CVSS-rated findings and remediation guidance to engineering teams.
I also improved Snyk Code triage to 95%+ validation accuracy using an AI validator that reviews exploitability, code context, and false positives. My work includes securing agentic AI pipelines against prompt injection, excessive agency, and improper output handling.
Previously at Mahen Technologies, I conducted digital forensic investigations across storage, mobile, and email artifacts and prepared evidentiary reports and Chain of Custody documentation. I bring hands-on experience across AppSec, DevSecOps, Kubernetes security, and AI/LLM security.
Experience
Work history, roles, and key accomplishments
Cyber Security Intern
JioStar
Feb 2026 - Aug 2026 (6 months)
Built a 4-stage AppSec pipeline automating SAST, DAST, and AI-guided testing in CI/CD, reducing security testing time from 5 days to about 1 hour. Identified 100+ validated vulnerabilities across 16 engagements and improved Snyk Code triage accuracy to 95%+.
Education
Degrees, certifications, and relevant coursework
SVKM's Dwarkadas J. Sanghvi College of Engineering
Bachelor of Technology, Computer Science
2022 -
Pursuing a Bachelor of Technology in Computer Science with a focus on IoT, Cybersecurity, and Blockchain Technology.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/parthshethia25Salary expectations
Job categories
Skills
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