Preet Shah

About

Computer Engineering diploma graduate and B.E. student in Artificial Intelligence & Data Science with internship experience in AI/ML and frontend development. Interested in building machine learning solutions and web applications using Python and modern development tools.

Experience

• AI/ML Intern
  Global Garner
  Jun 2026 – Sep 2026

  Developing AI/ML solutions using Python and machine learning libraries for real-world business use cases. Performing data preprocessing, feature engineering, and exploratory data analysis on structured datasets. Building, training, and evaluating machine learning models using Scikit-learn. Collaborating with the development team to integrate ML models into applications and improve model performance.

• Software Development Intern
  Wipra Worldwide
  Jan 2024 – Apr 2024

  Gained practical exposure in frontend development using HTML, CSS, Bootstrap, and JavaScript. Participated in industry-level projects, learning about responsive design, cross-browser compatibility, and performance optimization. Improved team efficiency by contributing ideas during project discussions and implementing solutions within deadlines.

Education

• Diploma in Computer Engineering
  Silver Oak University
  Computer Engineering · Sep 2021 – May 2024
• B.E in Artificial Intelligence & Data Science
  LJ University
  Artificial Intelligence & Data Science · Aug 2024

Skills

• SQL <3 months
• Artificial intelligence <3 months
• CSS <3 months
• Deep Learning <3 months
• HTML <3 months
• Bootstrap <3 months
• Python 3 to 6 months
• Machine Learning 3 to 6 months
• Data Science <3 months
• Matplotlib <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn 3 to 6 months
• Flask <3 months

Tools / apps / platforms

• Claude <3 months
• Gemini <3 months
• Git <3 months
• GitHub <3 months
• Google Colab <3 months
• Jupyter Notebook <3 months
• OpenAI ChatGPT <3 months
• VS Code <3 months

Projects

• AI Text Summarizer
  Python, Flask, Hugging Face Transformers, NLP, Git

  Developed an AI-powered web application that generates concise summaries from lengthy articles and documents using Transformer-based NLP models. Integrated pre-trained Hugging Face models for abstractive text summarization with a Flask backend. Built an intuitive web interface for real-time text input and summary generation. Applied NLP concepts, REST API integration, and version control using Git.

• E-Commerce Web Application

  Designed and developed a fully functional and scalable e-commerce platform with a modern user interface. Implemented user authentication, role-based access, product catalog management, and shopping cart features. Developed product catalog, shopping cart, wishlist, and order management features.