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Priyanshi Jain

@priyanshijain

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GenAI engineer building agentic, cloud-native security systems with measurable enterprise impact.

India

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What I'm looking for

I’m looking to build production-grade agentic AI for enterprise security—shipping cloud-native systems with measurable SOC outcomes, rigorous evaluation, and architecture-first trust (low hallucination, strong isolation, reliable pipelines).

I’m a builder-engineer with a dual lens: production-grade agentic AI systems and enterprise security. I’ve shipped a 6-agent autonomous threat platform on Google Cloud Run (VertexShield) and built multi-tenant RAG with namespace-level isolation (EnterpriseRAG), using typed state and architecture-first controls to prevent data bleed and reduce hallucination risk.

In parallel, I engineered fault-tolerant, high-throughput security event pipelines (DISTRIBUtrace) and a C++ cryptographic storage engine (SecureVault) focused on performance and trust. Across internships, I reduced MTTD for APT campaigns, improved SOC escalation accuracy with NIST-aligned playbooks, and delivered quantified security outcomes through ISO 27001 and CIS Controls gap assessments—turning field insights into repeatable agentic workflows.

Experience

Work history, roles, and key accomplishments

Current

AI/GenAI Security Engineer

Current

Tensai Ventures

Apr 2026 - Present (2 months)

Reduced MTTD for APT campaigns by 40% by building automated TTP-mapping pipelines in Python that ingested CVE feeds and correlated 500+ threat indicators/day using MITRE ATT&CK. Improved SOC escalation accuracy by 30% and reduced critical findings by 35% in 60 days by delivering NIST-aligned incident-response playbooks and ISO 27001/CIS Controls v8 gap assessments.

Python CVE TTP Mapping Vertex AI Automated Response Playbooks ISO 27001 CIS Controls V8

Cybersecurity Curriculum Architect

SelfCode Academy

Jan 2026 - Apr 2026 (3 months)

Designed a 4-month, 200-hour cybersecurity & agentic AI curriculum covering SOC operations and OWASP Top 10 exploitation, achieving a 95% course completion rate across 20+ learners. Built 12 hands-on lab environments to reduce learner time-to-competency by ~25%, simulating phishing pipelines, log-analysis workflows, and alert-triage systems in Python and Bash.

Curriculum Design Agentic AI SOC Operations OWASP Top 10 Python BASH Log Analysis Triage

Penetration Tester Intern

CFSS

Jul 2025 - Dec 2025 (5 months)

Identified 18 critical vulnerabilities across 6 web application assessments (SQLi, XSS, CSRF, IDOR, auth bypass) using Burp Suite, Nmap, Nessus, and Metasploit, each with CVSS v3.1 scoring and PoC evidence. Achieved a 100% remediation verification rate on retests and reduced false positives by 20% via custom Wireshark + Python packet-analysis scripts for IOC extraction.

Penetration Testing Burp suite Nmap Nessus Metasploit CVSS Wireshark Web Exploit Verification OWASP Top 10

Education

Degrees, certifications, and relevant coursework

D.J. Sanghvi College of Engineering

Bachelor of Engineering, Computer Science

2022 - 2026

Grade: CGPA: 8.0 / 10

Pursuing a B.E. in Computer Science (IoT, Blockchain & Cybersecurity), covering agentic AI systems, distributed systems, network security, cryptography, and blockchain technology. CGPA: 8.0/10.