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  • Universidade de Brasília - UnB
  • Brasil

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eliasqueirogavieira/README.md

Elias Queiroga

Python & Java Developer - Machine Learning Engineer

As an machine learning engineer with a passion for technology, I have a unique skill set that allows me to bring creative and innovative solutions to any project. With a focus on continuous learning, I have expanded my expertise to include machine learning, adding a powerful tool to my arsenal. I am dedicated to utilizing my skills and knowledge to build impactful and intelligent systems that drive growth and progress. Whether it's through my work as a developer or my ongoing study of machine learning, I am constantly striving to make a positive impact in the field of technology.

Elias' LinkedIn Elias' Kaggle Elias' Docker

🧰 Languages and Tools

Python

Java

PostgreSQL

Django

Angular

TensorFlow

PyTorch

Pandas

Numpy

OpenCV

MATLAB

Linux

Git



👨‍💻 Elias' Coding Journey

 I've had a fascination with technology since my early days learning Java and C programming in 2009. However, it wasn't until I began studying engineering in 2016 that I fully immersed myself in the world of code. Over the years, I've honed my skills in C, Python, VHDL, and other programming languages, finding a particular love for Python in the realm of digital signal processing. My interest in the field only grew as I delved into machine learning and became captivated by the endless possibilities it offers. I have taken it upon myself to expand my knowledge in this field, gaining proficiency in various libraries and APIs to deliver exceptional results. Currently, I am constantly pushing myself to grow, learning new programming languages, frameworks, and technologies such as Docker, AWS, and Django. My ultimate goal is to make a significant impact in the tech industry by using my skills and passion to bring innovative solutions to life.

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  1. app-censipam app-censipam Public

    The application developed for Censipam uses the pre-trained model to infer new deforestation through geographic images in QGIS.

    Python 5

  2. unet-sentinel unet-sentinel Public

    Implementation of the U-Net architecture to read multiband satellite images and predict newer deforestations on the Amazon rainforest.

    Python 9 1

  3. melanoma_detection_kaggle melanoma_detection_kaggle Public

    Kaggle challenge for melanoma classification on DICOM images

    Jupyter Notebook 4

  4. springboot2-jpa-restapi springboot2-jpa-restapi Public

    RESTful API using Spring Boot 2 and Maven

    Java 1

  5. rsna_breast-cancer-detection rsna_breast-cancer-detection Public

    Repo for the Kaggle challenge __currently being developed

    Jupyter Notebook 3

  6. stablediffusion_image_to_prompts stablediffusion_image_to_prompts Public

    Jupyter Notebook 1