Zaryab Khan

I’m a Backend AI Engineering Intern focused on shipping LLM-powered backend services that connect smoothly to production systems. At FlyRank AI, I build and integrate APIs, debug and scale backend infrastructure, and optimize the data pipelines that power AI-driven automation workflows.

I also enjoy teaching and mentoring through hands-on support. As a Teaching Assistant (ICT) at FAST NUCES, I assisted lab delivery, supported students with troubleshooting, and helped keep academic records accurate while grading assignments and quizzes.

In my projects, I prioritize real-world usability and security. I delivered a production-grade Hotel Management System using Next.js and Supabase, including an 8-role RBAC model enforced via middleware and Supabase RLS across core modules, then deployed it on Vercel.

I build practical AI experiences end-to-end: StudiBuddy is a RAG-based PDF study assistant using n8n, Gemini, Pinecone vector search, and a Next.js frontend deployed on Vercel. I’m also comfortable implementing core ML ideas from scratch, as shown by my Perceptron vs. Gradient Descent work for Iris species classification.