Zahid Hussain Agha Zulfiquar Ali

I’m an AI & full-stack developer with a Computer Science background from Sukkur IBA University (final examinations completed 2026). I focus on shipping backend services and AI-powered web applications that integrate LLMs into real, user-facing workflows.

In my internship experience, I’ve worked on production-minded REST API design and backend development in Node.js/Express as a Backend Engineer Intern at FlyRank. I also built and shipped full-stack features end-to-end as a Full-Stack Developer Intern (MERN Stack) at HyperLogic, including JWT-based authentication, role-based authorization, and an admin dashboard.

My projects reflect how I like to turn data into decisions with LLMs. In DevIntel, I built an AI developer assessment platform with Next.js 16, TypeScript, Tailwind CSS v4, and the Groq API to generate Employability and Industry Readiness scores plus a Skill Gap Report using GitHub profile data and resume text extracted from PDFs.

For end-to-end AI evaluation, I created an AI-Based IELTS Mock Test System using a fine-tuned LLaMA 3.2 for essay scoring, and I tested performance against GPT, Gemma, and DeepSeek using Quadratic Weighted Kappa (QWK) and Mean Absolute Error (MAE). I also implemented real-time transcription and fluency scoring with Azure Speech Services, reaching Band 8 (Writing) and Band 7.5 (Speaking) in evaluation. I’m motivated by building reliable systems—whether it’s LLM fine-tuning, RAG-style workflows, or full-stack role-based apps like AppointMed.