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  • HP
  • Porto Alegre, RS, Brazil

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fkuhne/README.md
  • 👋 Hi, I’m Felipe!

    • 18 years of experience in several software industries
    • Currently software engineer at HP
    • Former tech lead in IoT and computer vision at DBLab (2017~2021)
    • Former teacher in industrial robotics at PUCRS (2009~2019)
  • 👀 I’m interested in:

    • Software engineering
    • Machine learning / deep learning
    • Software architecture
    • Computer vision
  • 🌱 I’m currently learning:

    • Deep learning / LLMs
    • Javascript / React / React Native development
    • Software architecture
  • 💞️ I’m looking to collaborate on projects with:

    • Machine learning
    • Computer vision
    • Full stack
    • Mobile (Android)
  • 📫 How to reach me:

  • Recent portfolio:

    • Where To Watch? - an AI-powered search tool for TV shows (made with Langchain, Streamlit and OpenAI) (live demo) (repo)
    • Face recognition - a comprehensive desktop application (Computer vision, deep learning, OpenCV, Linux, C++, React)
    • Keyword spotting with embedded machine learning (Tensorflow Lite, C++, Python, audio processing) (video)
    • Behavior detection of a microwave oven with embedded machine learning (Tensorflow Lite, C++, Python)
    • People counter/tracker with computer vision (Computer vision, Machine learning, OpenCV, DLib, C++) (video)
    • In-company training on Internet of Things and Industry 4.0 since 2017
    • Temperature sensor reading - a contribution to Raspberry Pi Pico Github repository (Embedded systems, C++) (source code);
    • Computer vision for blueprint document analysis (Computer vision, Machine learning, Tensorflow, Python);
    • IoT integration with chatbots (IoT, Telegram Bot API, Python, C++) (video);
    • Moodbox - an end-to-end device for feedback retrieval (3D printing, IoT, Fullstack development);
    • IOTAR - an integration with IoT devices and augmented reality (IoT, C++, Augmented reality) (video).
    • Computer vision for an industrial conveyour belt (project coordinator; old school machine learning)
    • Arduino Day at PUCRS from 2016 to 2019 (founder and organizer) (video of 2017 edition)
  • Personal interests:

Pinned Loading

  1. Edge-Impulse Edge-Impulse Public

    My projects with Edge Impulse and embedded ML.

    2

  2. KWS-Dataset KWS-Dataset Public

    Custom keyword spotting dataset

    4

  3. msc msc Public

    All material developed during my MsC at UFRGS (2003 ~ 2005)

    PostScript

  4. open-speech-recording open-speech-recording Public

    Forked from petewarden/open-speech-recording

    Web application to record speech for an open data set

    JavaScript 1

  5. pico-two-cores pico-two-cores Public

    First application for Raspberry Pi Pico, exploring the onboard temperature sensor and multi core capability.

    CMake

  6. TinyML-edX TinyML-edX Public

    My stuff for TinyML course at edX.

    C++