I've built secure web systems and AI-powered analysis tools across research and product internships. At the Illinois Institute of Technology, I designed an AI-assisted dynamic policy enforcement architecture for adaptive endpoint threat detection.
I built a modular endpoint security pipeline that correlates process, file, and network telemetry for explainable risk scoring, and automated containment through process-tree termination, executable quarantine, and malicious IP blocking.
At Sociocube, I standardized access protocols, implemented multi-factor authentication, and developed a custom chat interface, announcements, tiered paywalls, discovery pages, and real-time profanity moderation using TypeScript, PostgreSQL, GraphQL, Next.js, and Tailwind CSS.
My projects include Himmat, a safety-focused route and SOS platform; an agentic data analysis system with traceable SQL and visualizations; and a Redis-backed microservice pipeline with a CNN for Sudoku digit recognition. I've also ranked in the top 2% of 25,000+ teams in the Amazon ML Challenge 2025.
