Marcio Ferreira

Marcio Ferreira Email and Phone Number

Cientista de dados @ FIT - Instituto de Tecnologia
Manaus, AM, BR
Marcio Ferreira's Location
Manaus, Amazonas, Brazil, Brazil
About Marcio Ferreira

With a solid academic background and extensive postdoctoral experience, I work at the intersection of biology and technology. I am a Machine Learning Analyst at Venturus, a technology innovation center, where I focus on Deep Learning, NLP, and Computer Vision. Previously, as a Data Scientist at FIT - Instituto de Tecnologia, I developed solutions in NLP and RAG architecture. In the United States, at Tulane University, I applied neural networks to the world's largest database of images of preserved fish specimens. At EMBL-EBI in the United Kingdom, I explored machine learning and computer vision to analyze fish heartbeats and tail movements. In Brazil, at the National Institute of Amazonian Research (INPA), I built a strong foundation in scientific research, leveraging advanced technologies to study animals in captivity.

Marcio Ferreira's Current Company Details
FIT - Instituto de Tecnologia

Fit - Instituto De Tecnologia

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Cientista de dados
Manaus, AM, BR
Employees:
502
Marcio Ferreira Work Experience Details
  • Fit - Instituto De Tecnologia
    Cientista De Dados
    Fit - Instituto De Tecnologia
    Manaus, Am, Br
  • Venturus
    Machine Learning Analyst
    Venturus Nov 2024 - Present
    Manaus
    Application of ML algorithms and computer vision to client-provided data
  • Fit - Instituto De Tecnologia
    Data Scientist
    Fit - Instituto De Tecnologia Jul 2024 - Nov 2024
    Manaus
    Natural Language Processing (NLP), Large Language Modelos (LLMs), RAG (Retrieval-Augmented Generation), AWS Bedrock. My work involved creating, testing, and evaluating the reproducibility and accuracy of AWS Bedrock-based models, ensuring they deliver consistent and precise results across different contexts and queries.
  • Tulane University
    Research Scholar - Data Scientist
    Tulane University Feb 2024 - Jun 2024
    New Orleans, Louisiana, United States
    Programming in Python; Data structures and algorithms; Image analysis; OpenCV; Scikit-learn; Supervised and unsupervised machine learning; Deep Learning; Data mining; TensorFlow; Neural networks; Generative models (LLMs). In this position, I highlight my leadership in developing an innovative application based on variational autoencoders, a type of generative neural network. In this case, I utilized them to transform images, making them suitable for our applications.Showcase: https://github.com/marciosferreira/fins_removal_auto_encoderr
  • European Bioinformatics Institute | Embl-Ebi
    Research Fellow - Data Scientist
    European Bioinformatics Institute | Embl-Ebi Feb 2021 - Feb 2024
    Cambridge, Inglaterra, Reino Unido
    Programming in Python; Unix pipelines; Cloud computing; Data structures and algorithms; Image manipulation; OpenCV; Scikit-learn; Big Data; TensorFlow; Neural networks; Generative models (variational autoencoders); matplotlib; DataFrames (Pandas); Predictive models. In this position, I highlight the leadership of a project to develop Python software capable of analyzing millions of images and detecting the heartbeat of fish embryos using pixel variability.Showcase 1: https://github.com/birneylab/medaka_bpmShowcase 2: https://github.com/marciosferreira/fish_behaviour_detection
  • Inpa - National Institute For Amazonian Research
    Researcher In Biology
    Inpa - National Institute For Amazonian Research Jan 2016 - Jan 2021
    Manaus, Amazonas, Brasil
    Scientific research; Laboratory analysis; Animal behavior; Fish exercise physiology; Handling of captive animals; Sensor installation and physiological data collection; Data manipulation; Data wrangling; Statistical analysis; Supervised and unsupervised machine learning (PCA and clustering); Python programming; TensorFlow; Convolutional neural networks. In this position, I highlight the leadership of a project to develop Python software capable of analyzing fish tailbeat from videos, utilizing recurrent neural networks (RNNs).Showcase 1: https://github.com/marciosferreira/fish_analyzerShowcase 2: https://github.com/marciosferreira/LSTM

Marcio Ferreira Skills

Python Aquaculture Inteligencia Artificial Keras Redes Neurais Opencv Pyqt Machine Learning Fisiologia Animal Algorithms Deep Learning Fish Behavior

Marcio Ferreira Education Details

Frequently Asked Questions about Marcio Ferreira

What company does Marcio Ferreira work for?

Marcio Ferreira works for Fit - Instituto De Tecnologia

What is Marcio Ferreira's role at the current company?

Marcio Ferreira's current role is Cientista de dados.

What schools did Marcio Ferreira attend?

Marcio Ferreira attended Estácio, National Institute For Amazonian Research - Brazil, National Institute For Amazonian Research - Brazil, Uniara, Faculdades Integradas De Arararaquara (Faculdades Logatti).

What skills is Marcio Ferreira known for?

Marcio Ferreira has skills like Python, Aquaculture, Inteligencia Artificial, Keras, Redes Neurais, Opencv, Pyqt, Machine Learning, Fisiologia Animal, Algorithms, Deep Learning, Fish Behavior.

Who are Marcio Ferreira's colleagues?

Marcio Ferreira's colleagues are Yann Silveira, Marcelo Zanotto, Maria Noel, Cinthia Cavalheiro Silverio, Daniela Santos, Valmir Ribeiro Da Cunha, Roberto Borghi.

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