SYED RABBAN

I've built and deployed six full-stack production-style applications, including The Fabric Files, a forensic-style fashion analysis tool that turns uploaded images into structured, confidence-scored garment and material data using a vision-language model.

During my Full Stack AI Development internship at GN JERBI Foundation NIDHI DST iTBI Center, I integrated AI-driven features into full-stack web applications with Python, modern JavaScript frameworks, third-party APIs, and deployment workflows.

I focus on software that remains reliable when real-world systems fail. In InvoicePro, I built offline-first invoicing and expense management with native Android packaging and layered PDF-export fallbacks; in SkyGuard Weather, I used a secure server-side API proxy, multi-source data fallback, and retry-with-backoff logic.

I've also strengthened application security by resolving a session-authentication vulnerability in a self-built CMS admin panel using HMAC-signed, httpOnly session cookies and constant-time comparison. I'm eager to build scalable, real-world software.