Eugênio Dias Ribeiro Neto


Projects

I will be sharing here some of my experiences and personal projects.

📚

Machine learning in production

2026 - Present

To broaden my expertise beyond my core research, I am currently studying Machine Learning in production, with a focus on deploying models for efficient inference. I'll be publishing some personal projects here as I progress.

I am currently studying through the following books / materials:


📊

Data scientist intern

BCA Expertise

Data scientist intern

March 2023 - October 2023 · Paris, France (remote)

Integrated in the data science team of BCA Expertise, France’s biggest company in the automotive expertise sector.

  • Developed a semi-supervised document classification pipeline achieving over 85% accuracy.
  • Implemented Donut as multimodal transformer architecture combining text and image inputs.
  • Built semi-automatic data cleaning and labeling workflow, significantly accelerating the processing of thousands of samples.
  • Developed a vehicle mileage reading system from images using YOLO for detection and EasyOCR for text recognition.

🎓

Team Member of Academic Project in deep learning

ATOS

Team Member of Academic Project in deep learning

September 2022 - February 2023 · Colombelles, France

Integrated in the data science team of BCA Expertise, France’s biggest company in the automotive expertise sector.

  • Collaboration on the development of a deep-learning pipeline for classifying fish species in underwater images.
  • Applied BiT for Fine-Grained classification, reaching over 80% accuracy.
  • Applied oversampling techniques to manage the unbalanced train dataset.

🔬

Research Intern in machine learning

LIRMM

Research Intern in machine learning

May 2022 - August 2022 · Montpellier, France

Integrated in the ICAR (Image & Interaction) team of the LIRMM (Laboratory of Computer Science of Montpellier).

  • Designed and implemented an end-to-end deep learning pipeline featuring detection, tracking, feature extraction, and clustering for dog Re-ID from camera-trap images.
  • Demonstrated the feasibility of the research, directly leading to the launch of my doctoral research project.
  • Paper published at GRETSI (Francophone Conference on Signal and Image Processing) 2023.

🎓

Java WEB Development Intern

Federal University of Bahia (UFBA)

Java WEB Development Intern

January 2021 - August 2021 · Salvador, Brazil (remote)

Integrated in the WEB developpement team of UFBA. UFBA is in the top-20 best universities in Brazil.

  • Collaboration in the development of new features and maintenance of a Java-based web system responsible for managing various administrative features for the Federal University of Bahia.
  • Management of the PostgreSQL database.