MUHAMMAD TAHA
NASIR
AI Engineer focused on Generative & Agentic AI systems. Building LLM applications, stateful AI workflows, RAG systems, real-time Voice AI, and production-grade backends.
Hi, I'm Muhammad Taha Nasir, a senior Computer Science student at FAST-NUCES and an AI Engineer who enjoys building things at the intersection of Artificial Intelligence and Software Engineering.
I primarily work with Python, C++, and JavaScript, building applications and intelligent systems from the ground up. I enjoy working close to the engineering side of things, understanding how software works underneath, designing reliable systems, and turning ideas into something that actually works.
My journey into AI spans Machine Learning, Deep Learning, Natural Language Processing, and Generative AI. I work with neural networks, modern model architectures, LLMs, embeddings, RAG, AI agents, and model-powered applications, with a strong interest in understanding what happens beneath the abstractions rather than simply treating AI as a collection of black-box APIs.
Alongside AI, I build the engineering layers that make these systems usable in the real world, from backend services, APIs, databases, and vector search to deployment, cloud infrastructure, Docker, CI/CD, and automation.
I'm focused on building systems that sit at the intersection of logic, performance, and AI creativity, useful systems, engineered properly, and built from the ground up.
And yes, I'm also what you might call a vibe coder, a good chunk of my workflow is powered by AI… but hey, that's fair game when you're training to be an AI engineer yourself. 😉
“What I cannot create, I do not understand.”
— Richard Feynman
