Hammad Mengrani - AI Engineer & Full Stack Developer | Building Production-Ready AI Systems, Scalable Web Apps & Agentic Workflows

Hammad Mengrani

AI Engineer || Full Stack Web & Mobile Application Developer || Generative AI & RAG Specialist

AI Engineer & Full Stack Developer | Building Production-Ready AI Systems, Scalable Web Apps & Agentic Workflows

I am an AI Engineer and Full Stack Developer studying Artificial Intelligence at SZABIST University. I specialize in building end-to-end, AI-powered digital products and automation systems that turn complex ideas into production-ready software. My expertise spans across full-stack development (Next.js, FastAPI, Node.js, React Native), custom Generative AI solutions (LLMs, RAG Pipelines, LangChain), and workflow automation using n8n. Having built live production applications and won mu

Karachi, Pakistan

Key Achievements & Honors

🏆 2nd Place Winner – ZABEFEST 2026

Runner-Up – ZabFest 2024:

Shortlisted Participant – National Agentic AI Hackathon Track 2

Shortlisted Participant – National Agentic AI Hackathon Track 2

Shortlisted Participant – National Agentic AI Hackathon Track 2

Shortlisted Participant – National Agentic AI Hackathon Track 2

About Me

I am an AI Engineer and Full Stack Developer studying Artificial Intelligence at SZABIST University. I specialize in building end-to-end, AI-powered digital products and automation systems that turn complex ideas into production-ready software.

My expertise spans across full-stack development (Next.js, FastAPI, Node.js, React Native), custom Generative AI solutions (LLMs, RAG Pipelines, LangChain), and workflow automation using n8n. Having built live production applications and won multiple hackathons, I thrive at the intersection of modern web architectures, data science, and intelligent automation.

Skills Matrix

JavaScript (ES6+), TypeScript, Python, HTML5, CSS3, SQL, GraphQL
Next.js, React, React Native, Tailwind CSS, Vite.jsSkill 2
Generative AI, LangChain, RAG Pipelines, Custom LLM Integration, Computer Vision, n8n, Pandas, Scikit-learn, Web Scraping

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