Blog
Projects, writeups, and things I've learned.
VulnDetect AI — Using LLMs to Cut False Positives in Static Analysis
My final year project: combining CodeQL with a LangGraph multi-agent pipeline and local LLMs to reduce false positives in C/C++ vulnerability detection.
Agentic Network Forensic — Autonomous Threat Hunting with LLMs
Building an AI agent that autonomously investigates 52 GB of network captures, processes 600K+ Suricata alerts, and produces full forensic reports.
Buddeee — AI-Powered Community Event Discovery for Isolated Individuals
A full-stack Android app that uses RAG-powered chatbots, on-device LLM ranking, and interactive maps to help isolated individuals discover and connect through local events.
Kubernetes on EKS — End-to-End Deployment with ALB Ingress
Deploying a containerized app on AWS EKS with Fargate, setting up the AWS Load Balancer Controller, and exposing it to the internet via ALB Ingress.
inCredible AI — Fighting Misinformation with Multi-API Fact-Checking
A TechFest 2025 project that combines deepfake detection, AI-powered fact-checking, and educational storyboards to combat online misinformation.