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Muhammad AliMA
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Muhammad Ali

@muhammadali62

AI undergraduate building computer-vision and LLM/RAG applications to turn emerging ideas into impactful solutions.

Pakistan
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What I'm looking for

I’m looking to build and ship AI-powered applications—especially computer vision and LLM/RAG solutions—while learning emerging technologies and turning ambitious ideas into impactful products.

I’m an AI student focused on exploring emerging technologies, intelligent systems, and space innovation. I enjoy building AI-powered applications, learning cutting-edge technologies, and turning ambitious ideas into impactful solutions.

As an Artificial Intelligence undergraduate at Air University (Expected 2028), I’ve gained hands-on experience in Computer Vision, Machine & Deep Learning, Information Retrieval, and Large Language Models (LLMs). I’m especially drawn to RAG and strong information-retrieval workflows.

I build end-to-end projects using tools like Python, PyTorch, Scikit-learn, FastAPI, REST APIs, Firebase/Firestore, and Streamlit. My featured work includes an MRI tumor AI-powered semantic search using RAG/LLMs, explainability with Grad-CAM, and an Islamic RAG project focused on Quran semantics.

I’m vision-driven to empower humanity by shaping the future through Artificial Intelligence. With a strong grip on Information Retrieval & RAG, I’ve built 5+ AI & Full-Stack projects and aim to develop production-ready systems that make technology more useful and transparent.

Experience

Work history, roles, and key accomplishments

Air University logoAU

Artificial Intelligence Undergraduate

Air University

Artificial Intelligence undergraduate with hands-on experience in computer vision, machine/deep learning, information retrieval, and large language models (LLMs). Built 5+ AI and full-stack projects including RAG-based semantic search and explainability using Grad-CAM.

Education

Degrees, certifications, and relevant coursework

Air University logoAU

Air University

Undergraduate, Artificial Intelligence

Activities and societies: Hands-on experience: Computer Vision, Machine & Deep Learning, Information Retrieval, and LLMs.

Undergraduate student in Artificial Intelligence at Air University, expected to complete in 2028. Hands-on experience includes Computer Vision, Machine & Deep Learning, Information Retrieval, and Large Language Models (LLMs).

Tech stack

Software and tools used professionally

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