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JohannMayos/README.md

Hi My name is Johann Mayos

Embedded Android Analyst/Machine Learning Developer

I am a technology professional with a Bachelor's degree in Information Systems and a technical high school background in IT. I have experience in analyzing and resolving issues related to AOSP and the audio framework, optimizing audio and video parameters, and testing functionalities on Android devices. I utilized tools like Jira, Gerrit, and Jenkins for task management, code review, and CI/CD pipelines, ensuring software quality and stability. Additionally, I have a strong foundation in machine learning, neural networks, and predictive modeling, having worked on projects like music genre classification using the GTZAN dataset, where I explored audio embeddings, data augmentation, and multimodal approaches. My expertise in embedded systems and machine learning makes me a versatile professional ready to tackle innovative challenges in tech.

  • 🌍 I'm based in Manaus/Amazonas - Brazil
  • ✉️ You can contact me at jmayossilva@gmail.com
  • ⚡ Sound Design/Sound Engineering Enthusiast

Skills

CC++PythonC#VS CodeLinux

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Top Languages

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  1. CoreBot CoreBot Public

    Python

  2. CorebotClassifier CorebotClassifier Public

    Python

  3. GTZANSongAnalysis GTZANSongAnalysis Public

    Jupyter Notebook

  4. SongAnalysis SongAnalysis Public

    Jupyter Notebook

  5. GenreClassifier GenreClassifier Public

    Jupyter Notebook