Kashif Ullah

I’m a computer science student focused on Artificial Intelligence, and I build practical ML and AI applications with an emphasis on accuracy, speed, and useful outputs. I enjoy translating real-world inputs—text, images, PDFs, and even video—into structured results that people can act on immediately.

With my projects, I design intelligent systems that feel “alive”: a CV Builder powered by AI agents that generates and formats resumes from user input with instant preview, and an AI Data Extractor that pulls structured fields from images and PDFs using OCR and agent workflows.

I also create developer- and user-facing tools, including an AI Video CodeExtractor that retrieves code snippets from tutorials via video processing and text recognition, plus an AI Chatbot Terminal application that converts natural language into executable terminal commands with safe intent handling.

From NLP classification to document intelligence, I use Python and modern frameworks like FastAPI, LangChain, and Streamlit to ship end-to-end experiences. I’m motivated by continuously exploring new AI and machine learning technologies and building reliable, data-driven products.