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FillipusAditya/README.md

Hi there! I'm Fillipus Aditya Nugroho ✨

πŸ‘‹ About Me

Hi! I'm Fillipus Aditya Nugroho, an undergraduate student majoring in Electrical Engineering at Universitas Jenderal Soedirman (UNSOED). I have a strong passion for Artificial Intelligence, Machine Learning, and Data-Driven Problem Solving.

I enjoy exploring computer vision, feature extraction, and real-world applications of AI through research projects, internships, and robotics competitions.

πŸ”§ Skills

  • Programming Languages: Python (NumPy, Pandas, Scikit-learn, PyTorch), SQL
  • Machine Learning: XGBoost, AdaBoost, Random Forest, KNN, SVM
  • Feature Engineering: GLCM, GLRLM, Tamura, Color Moments
  • Deep Learning: CNN, U-Net, LSTM
  • Tools: MLflow, Optuna

πŸ† Achievements

  • Djarum Plus Scholarship Awardee (Batch 40)
  • 3rd Place, Indonesian Flying Robot Contest (KRTI) 2023, Racing Plane Division

πŸ“Š Projects & Experience

  • Student Research Intern, NAIST, Japan
    • Achieved 90% accuracy in cervical cancer detection with optimized feature extraction.
    • Clustered HIV-1 protein sequences for drug target identification.
  • Electrical Maintenance Intern, PT Kereta Api Indonesia (Persero)
    • Studied maintenance and load tests of Gensets on Power Cars.
    • Contributed to preventive maintenance and load performance analysis.
  • Soedirman Robotic Team
    • Team Leader, Fixed Wing Division, KRTI 2024 (passed national selection).
    • Electronics Staff, Racing Plane Division, KRTI 2023 (3rd place).
  • Coordinator of Programming Laboratory Assistants, ALTEK UNSOED
    • Facilitated Basic Programming Labs and mentored students in programming fundamentals.

πŸ“« Contact Me

πŸ”„ GitHub Stats

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Thank you for visiting my profile!
I’m always open to collaborations, research projects, and opportunities to contribute to impactful AI solutions.
Let’s build something meaningful together! πŸš€βœ¨

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  1. cerviscan-cervical-cancer-detection cerviscan-cervical-cancer-detection Public

    CerviScan is a machine learning project for early detection of cervical pre-cancer using color moments and texture features extracted from post-VIA colposcopy images. This research evaluates multip…

    Python

  2. cerviscan-website cerviscan-website Public

    A Flask-based web application for cervical pre-cancer detection using VIA images and a custom machine learning model. Includes patient data input, image upload, automated detection, segmentation vi…

    Python

  3. clustering-hiv-type-1-protein clustering-hiv-type-1-protein Public

    Jupyter Notebook

  4. breast-cancer-winconsin-classification breast-cancer-winconsin-classification Public

    Jupyter Notebook

  5. kaggle-playground-s5e7-introvert-extrovert kaggle-playground-s5e7-introvert-extrovert Public

    Jupyter Notebook