About Me
I am a security engineer and technical leader at Adobe specializing in AI security, agentic systems, and large-scale security platforms. Over the past seven years, I have designed and built production systems that turn complex security telemetry into prioritized investigations, automated controls, and faster response.
At Adobe, I architected Project Enola, a patent-pending agentic security platform that correlated 3.94 billion SIEM events and delivered more than 5,800 investigations across 18 teams. My work also includes multi-agent security automation, enterprise monitoring for LLM and RAG systems, vulnerability-prioritization pipelines, and data-protection controls operating across high-volume telemetry. I set technical direction, mentor senior team members, and work across security, engineering, and leadership teams to turn emerging risks into deployable controls.
My focus is the intersection of AI security, distributed security platforms, application security, and threat intelligence. I work on securing LLM and agentic systems against prompt injection, jailbreaks, data leakage, poisoned context, and unsafe automation. I translate those defenses into practical guardrails for enterprise engineering teams.
I also share this work through technical writing and speaking, including the Databricks Data + AI Summit, IEEE Silicon Valley Cybersecurity Conference, Application Security Weekly, The Diana Initiative, and university security programs.
Adobe · Senior Security and AI Engineer
I lead security and AI engineering, building agentic platforms, LLM and RAG guardrails, and data-protection systems. I architected Project Enola, a patent-pending agentic security platform that correlated 3.94 billion SIEM events and delivered more than 5,800 investigations across 18 teams.
Adobe · Security Engineering Intern
I built automated AWS enforcement controls that closed more than 10 cloud-security detection gaps and developed a firewall-policy methodology that reduced false negatives by 60%.
Netskope · Senior Security Engineer, promoted from Security Intern
I productionized a distributed Python malware-analysis pipeline and built real-time malicious-URL detection and YARA-based file classification for cloud traffic.
Education
Johns Hopkins University · M.S. in Security Informatics
I studied applied cryptography, network security, software vulnerability analysis, ethical hacking, and cloud security, graduating with a 3.9 GPA.
Vellore Institute of Technology · B.Tech. in Computer Science and Engineering
I studied computer science in Vellore, India, where I began building software and exploring security.
Selected Speaking
Talks and conversations on AI security, agentic systems, threat intelligence, and building defenses at enterprise scale.
Augmenting Threat Intelligence with Agents
Agentic analysis, fleet sweeps, and proactive application-security defenses.
Watch episode ↗
Architecting Agentic Security
Scaling threat detection with LLMs and lakehouse architecture.
Session details ↗
Supercharging Threat Intelligence with AI
Automating IOC extraction and enrichment for faster threat analysis.
Watch talk ↗More speaking
AI and the Future of Cyber Defense
AI and Cybersecurity: Skills for Tomorrow
Watch seminar ↗
Building Agentic Security
Conference details ↗
Supercharging Threat Intelligence with AI
Credentials
Selected Writing
Practical systems work across agentic security, enterprise telemetry, and cloud defense.
Building an Agentic AI-Powered Threat Intelligence Platform
How LLM extraction, lakehouse architecture, and parallel fleet sweeps turn threat reports into enterprise investigations.
Read article ↗ Adobe Tech Blog · Data systemsDesigning Effective Data Security Schemas
Normalizing heterogeneous security telemetry for portable, high-confidence correlation.
Read article ↗ Adobe Tech Blog · Network securityPracticing Proper DMZ and Firewall Hygiene
Segmentation and firewall patterns for reducing exposure around critical infrastructure.
Read article ↗Earlier research
Builds & Competitions
Selected prototypes, agent projects, hackathons, and security competitions.
2025 · CTFRecorded Future RSA CTF
First place at RSA Conference 2025.
2025 · FinalistNexus Agent
MCP and A2A Hackathon, AWS Edition.
2025 · CTFAirbnb CTF
10th overall and 2nd among Adobe teams across 600+ participants.
2025 · AI prototypeCurio
Multimodal cultural intelligence across music, film, dining, and fashion.
2025 · AI prototypeTrade Lense
An AI copilot for navigating public-market research and investment signals.
2025 · AI prototypeHuggy
A voice-first companion designed around human connection and care.
2024 · CTFAirbnb CTF
4th overall and 1st among Adobe teams.
2019 · CTFNorthrop Grumman CTF
First-prize team in the security competition.
2017 · FinalistNetskope Hackathon
Built a security prototype under a compressed delivery window.