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Gabriel C.
Machine Learning/AI Engineer

Sql
Matlab
Python
Bio

An AI Engineer with expertise in vital signs estimation using smartphone technology, recognized for contributions in Signal Processing and Machine Learning. This professional has developed advanced software solutions utilizing natural language processing and video processing in a media context, as well as automated tools for video content creation. Experience includes feature extraction in multi-dimensional time-series data relevant to autonomous driving, and hands-on research in electromyography and EMG-based orthoses. A solid educational background in Neuroengineering and Electrical Engineering from prestigious institutions complements a strong foundation in both theoretical knowledge and practical applications.

  • AI Engineer
    3/1/2021 - null

    Focused on estimating vital signs utilizing smartphone cameras, leveraging expertise in advanced signal processing techniques and machine learning to develop innovative health monitoring solutions.

  • Data Science Intern
    11/1/2020 - 7/1/2021

    Contributed to various software solutions by developing natural language processing and video processing applications, enhancing existing services with entity recognition and automation tools, while analyzing machine learning model performance and providing insights to business teams.

  • Graduate Research Assistant
    3/1/2020 - 5/1/2020

    Conducted research that involved the implementation of methods for extracting features from multi-dimensional time-series data, focusing on applications in autonomous driving to advance technological understanding in this field.

  • Summer Research Intern
    5/1/2017 - 8/1/2017

    Co-designed a protocol for collecting and analyzing surface electromyography data, incorporating high-density electromyography systems and motion capture technology to study neuromuscular function extensively during the research internship.

  • Undergraduate Research Assistant
    3/1/2016 - 2/1/2017

    Researched EMG-based orthotic systems and developed signal conditioning circuits, contributing to advancements in automation and robotics through hands-on experience in a laboratory setting.

  • Neuroengineering at Technical University of Munich
    2019 - 2022

  • Electrical Engineering at University of Brasília
    2012 - 2018

  • Electrical and Electronics Engineering Junior Year Abroad at University of Leeds
    2014 - 2015

  • Machine Learning at Coursera
    7/1/2017

  • Applied Data Science with Python Specialization at Coursera
    9/1/2020

  • Deep Learning Specialization at Coursera
    10/1/2020

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