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frances-uy/README.md

Hello, I'm Frances 👋

🎓 Recent Computer Science Graduate | Machine Learning

I'm a recent Computer Science graduate from the University of Hawaiʻi at Mānoa, passionate about building machine learning solutions that solve real-world problems. I love combining technical expertise with creative problem-solving to develop AI-powered applications.

What I Do

  • Machine Learning Engineering: Building CNN models, computer vision systems, and end-to-end ML pipelines
  • Full-Stack Development: Creating scalable web and mobile applications
  • Research & Innovation: Collaborating on projects that bridge technology and scientific discovery

🔭 Tools I Use

  • Languages: Python, JavaScript, SQL, C++
  • ML & AI: TensorFlow, PyTorch, Scikit-learn, Computer Vision, Deep Learning
  • Web & Mobile: React, Firebase, Docker, Git
  • Cloud & Data: AWS, PostgreSQL, MySQL, Data Visualization

🌱 I'm currently learning and interested in

  • Seeking Machine Learning Engineer opportunities where I can apply my experience in computer vision and full-stack development
  • Continuously learning advanced ML techniques and exploring generative AI applications
  • Contributing to Hawaiʻi's tech community through mentorship and education

👩🏻‍💻 Connect with Me

Pinned Loading

  1. role-model/likelihood-free-inference role-model/likelihood-free-inference Public

    Experimenting with different likelihood-free inference methods

    Python 1

  2. gpio-emulator-server gpio-emulator-server Public

    HTML

  3. rpi-qemu-sim rpi-qemu-sim Public

    Shell

  4. cnn-telescope-classification cnn-telescope-classification Public

    Python