Aspiring AI Engineer | Full Stack Developer | Computer Science @ Iqra University
Computer Science student at Iqra University (CGPA: 3.87/4.0) with hands-on experience in Machine Learning, NLP, Computer Vision, and Full-Stack Development.
Currently serving as an ML Intern at Arch Technologies, working on AI solutions involving Natural Language Processing and Computer Vision.
Focus Areas: Machine Learning β’ NLP β’ Computer Vision β’ Full Stack Development
- Python
- Java
- C++
- JavaScript
- SQL
- TensorFlow
- Scikit-learn
- NLP
- Computer Vision
- React
- Flask
- Django
- HTML
- CSS
- Git
- VS Code
- Pandas
- NumPy
Collaborative learning platform using Flask REST API, React, and SQLAlchemy.
Spam detector achieving 94% accuracy using Scikit-learn and TF-IDF.
Handwritten digit classifier achieving 98.5% accuracy using TensorFlow CNN.
Pattern-matching chatbot built with C++ and Trie Data Structure.
Python GUI music player developed with Tkinter and Pygame.
Event booking platform built with JavaScript, HTML/CSS, and MySQL.
π₯ Merit Scholarship β Iqra University (CGPA 3.87/4.0)
π HP LIFE
- AI for Beginners
- Data Science and Analytics
π€ Certificate of Management Excellence (ICTIST 2026)
π MLSA BSEAS Workshops
- Prompt Engineering Worksho
- Agentic AI Workshop
- π» Building AI & Full-Stack projects
- π± Currently learning: React, FastAPI, Docker
- π€ Open to internships and collaboration
Looking for collaborators or want to discuss AI, Machine Learning, or Full-Stack Development? Feel free to connect!
π§ Email: ambreen.naeem47@gmail.com
πΌ LinkedIn: https://www.linkedin.com/in/ambreen-naeem-b30a32329
π» GitHub: https://github.com/Ambreen-Naeem