AI Researcher at SISA Information Security. B.Tech Cybersecurity, MIT Bengaluru '26. Building threat models for AI systems and automating security consulting.
I work at the intersection of AI and offensive security — building threat models for AI systems, researching adversarial ML, and helping organisations understand what breaks before attackers do.
My edge: I do real pre-sales consulting while still studying. That means I understand how security decisions are made commercially, not just technically. I build tools that collapse the gap between research and delivery.
Production multi-agent pipeline that automates the full pre-sales cycle: discovery questionnaire, scoping, pricing, and proposal generation. Built on Groq (Llama 3), zero-cost deployment on Streamlit Community Cloud. Dark web3 UI with real-time pipeline progress.
Full-stack tool that automates the entire pre-sales workflow for a DFIR security firm. Opportunity tracking, AI-generated DOCX proposals (IFI/Retainer/BAS), Claude-powered follow-up drafting, GAM contacts, executive dashboard with charts.
Reference guide built from real engineering work — not tutorials. Covers CLAUDE.md setup, prompt patterns with file:line references, security non-negotiables for backend code, token efficiency, and agent usage. Includes a working README generator CLI.
My Obsidian vault — auto-synced to GitHub after every session. Graph topology only. No note content exposed.
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Ask about my work, research, or how to collaborate. Pick your model — all stream via Vercel AI SDK Edge Runtime.
Chain: Groq (primary, free) → OpenRouter (fallback, free) · Vercel Edge Runtime · auto-failover