Arun goud

I developed AgentShield, an enterprise AI security dashboard, using React, Vite, Tailwind CSS, Python, and FastAPI. I designed a modular pipeline for jailbreak detection, context analysis, bias and fairness auditing, enterprise AI assistance, and output guarding.

I integrated locally hosted AI models using Ollama and Qwen, and built a responsive dashboard to visualize system activity. I also worked as the project lead, coordinating development and integration across the project team.

For the Women Safety / SAFETRACK application, I developed a web and mobile experience with SOS alerts, trusted contacts, emergency communication, and real-time location sharing. I built its frontend with React/Vite and TypeScript, and backend services with Python Flask.

On Growvion Admin, I reviewed the security of a full-stack web application, including authentication routes, JWT-based authentication, middleware, environment configuration, and rate limiting. I also identified dependency vulnerabilities using npm audit and reviewed frontend security headers.