Agentic AI Study Personal Mentor
A multi-agent study preparation platform designed for context-aware quiz generation and response evaluation, using retrieval to ground answers in relevant material.
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I build practical AI applications, retrieval-augmented systems, and agentic workflows that turn complex problems into useful products.
ExploreI'm Ahsan Nazir, a Computer Science graduate focused on building thoughtful software with AI at its core.
My work and learning interests span Agentic AI, retrieval-augmented generation (RAG), multi-agent systems, and Python development. I enjoy exploring how these building blocks can become reliable, useful applications.
Explore my GitHubA selection of projects across AI, machine learning, and applied software. Visit each repository for source code and implementation details.
A multi-agent study preparation platform designed for context-aware quiz generation and response evaluation, using retrieval to ground answers in relevant material.
View repositoryAn image-classification project exploring transfer learning for bottle defect classification. Open the repository for implementation details and verified results.
View repositoryA demand forecasting project for event planning, using time-based and seasonal features to estimate booking demand.
View repositoryA forecasting project aimed at helping explore crop-yield estimates and practical agricultural decision support.
View repositoryEzitech Software House
NAVTTC · Corvit, Rawalpindi · Huawei training
Hazara University, Mansehra
Dates and descriptions are based on the supplied CV. Please verify the current status of ongoing training before publishing.
I'm interested in AI engineering opportunities, meaningful collaborations, and building useful products. Feel free to reach out.
ahsannazir201@gmail.com