Abdullah Naseer
@abdullahnaseer
I'm a BSIT student building deployable multi-agent AI, RAG, machine learning, and computer vision applications.
What I'm looking for
I've built a live multi-agent Smart Assistant on Hugging Face Spaces using LangGraph, FastAPI, and Docker. It uses a Supervisor pattern to coordinate Math, Search, and General Assistant agents.
I implemented MCP for AI tool integration, shared memory for context retention, and human-in-the-loop safety controls. I also built an end-to-end LangChain and FAISS RAG pipeline that provides document-grounded answers from PDF and text sources.
My machine learning work includes a diabetes prediction neural network that achieved 75%+ accuracy using TensorFlow/Keras, data cleaning, normalization, dropout, and early stopping.
I've also built a cat-versus-dog CNN and applied MobileNetV2 transfer learning to reach 92% test accuracy. I'm seeking an Agentic AI or Machine Learning internship where I can contribute to production-ready multi-agent applications.
Experience
Work history, roles, and key accomplishments
Agentic AI & ML Engineering Intern
Applied hands-on experience in building end-to-end AI pipelines using LangChain, LangGraph, MCP, and FastAPI. Contributed to production-ready multi-agent applications while learning from an experienced engineering team.
Education
Degrees, certifications, and relevant coursework
University of Education, Lahore
Bachelor of Science, Information Technology
Pursuing a Bachelor of Science in Information Technology, currently in the 7th semester.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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