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Stefanie K. from Indonesia

Stefanie K.

Indonesia 1-2 years
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EnglishIndonesian
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About

Stefanie K. is an undergraduate student majoring in Informatics Engineering at Mercu Buana University in Tangerang, Indonesia. She has a strong foundation in Python, Computer Vision, and Image Processing, demonstrated through her role as a research assistant where she developed an AI-based lung cancer detection system utilizing CNN, Vision Transformer, and hybrid feature extraction techniques. With her internship experience as a Web Developer at CV Prima Bella Panen Rejeki, Stefanie successfully created an inventory management system that enhanced data accuracy and operational efficiency. Her academic projects include the development of a flower species classification system using CNN and DWT, with results published in a peer-reviewed journal. Stefanie's work in building an AI-powered e-commerce platform earned her a Bronze Medal in a national competition. She balances her technical proficiency with active involvement in student development activities as part of the Student Executive Board at her university, where she organized workshops and cross-divisional initiatives.

Experience

  • Research Assistant – Lung Cancer Detection System (Computer Vision)

    Mercu Buana University · 2025 — 2026
    Developed an AI-based lung cancer detection system utilizing Python, CNN, and Vision Transformer (ViT) for multi-class medical image classification. Created a hybrid feature extraction pipeline including DWT and SVD, and built deep learning models to classify medical images. Designed a GUI for automated image processing and implemented ensemble learning and result interpretation techniques. Optimized algorithms by migrating from MATLAB to Python and conducted experimental analyses.
  • Flower Species Classification using CNN and Discrete Wavelet Transform (DWT): A Comparative Analysis

    Mercu Buana University · 2025 — 2025
    Created an end-to-end image classification system applying CNN and DWT with a dataset exceeding 3,000 images across 5 classes. Enhanced model accuracy from 81.29% to 82.73% through wavelet-based preprocessing and executed model comparisons for performance evaluation. Employed Grad-CAM for model explainability and built an interactive GUI for an automated classification workflow. Published findings in a peer-reviewed journal.
  • National Competition Participant

    Mercu Buana University · 2025 — 2025
    Developed an AI-powered e-commerce platform featuring a multilingual recommendation system and integrated the DeepSeek API for personalized fashion consultations. Implemented the frontend using Bootstrap and managed backend logic for product searches and transactions. Recognized with a Bronze Medal for demonstrating innovative AI-based solutions.
  • Web Developer Internship

    CV Prima Bella Panen Rejeki · 2025 — 2025
    Created an inventory management system aimed at digitizing and automating business operations. Defined and designed features including supplier management, product tracking, purchase orders, and reporting capabilities. Enhanced accuracy and operational visibility through this system while contributing to the frontend of the company's profile website.

Skills & Expertise

Education

  • Bachelor in Informatics Engineering
    Mercu Buana University · 2022 — 2026
  • Science
    SMAN 7 KOTA TANGERANG SELATAN · 2019 — 2022