photo de profil d'un membre

Marcos GOMES BORGES

Computer Vision Engineer

Situation professionnelle

N'envisage pas de changer de poste actuellement

Résumé

I am a research engineer with over eight years of experience in robotics, computer vision, software engineering, and artificial intelligence.

I am a team-oriented person. I believe that working together is imperative to get things done on time. This means I will do whatever it takes to ensure that my team is succeeding.

Main interests:
+ Estimation and filtering theory
+ Object detection
+ Multi-object tracking
+ Sensor data fusion
+ Multi-objective optimization
+ Visual odometry
+ 3D reconstruction
+ Machine learning
+ Deep learning
+ Software engineering
+ Autonomous navigation

View some of my papers at:
https://researchgate.net/profile/Marcos_Gomes-Borges

See my GitHub repositories at:
https://github.com/MGomesBorges

Expériences professionnelles

Machine learning & computer vision engineer

ENGIE , Saint-denis - CDI

De Juin 2018 à Aujourd'hui

R&D in machine learning, computer vision algorithms, and robotics.

Main activities:
+ Proof of concept for intelligent video analytics
+ Development of multi-object tracking algorithms
+ Development of SLAM algorithms for mapping and 3D reconstruction
+ Embedded software development for NVIDIA Jetson, Raspberry Pi, and Google Coral
+ REST API web application development

Main technologies:
C++, Python, CUDA, Qt, Keras, Tensorflow, PyTorch
OpenCV, Dlib, scikit-learn, scikit-image
Docker, Nifi, Kafka, Hadoop, Git, MySQL, MongoDB
Flask, Jinja2, React, JavaScript, HTML5, CSS3

Image processing engineer

SAFRAN Electronics & Defense , Massy - CDD

De Août 2014 à Novembre 2017

Conduct R&D using applied mathematics for automated object detection, labeling, classification, and tracking.

Determination and implementation of real-time sensor management algorithms for multi-object tracking in different applications (PTZ camera, radar, lidar, sonar, self-navigation).

Parcours officiels

Doctorat – Automatique, Génie Informatique, Traitement du Signal et Image – LAGIS/CRISTAL - Laboratoire d’Automatique, de Génie – 2018

Langues

Français - Courant

Anglais - Courant

Portugais - Langue maternelle

Polonais - Notions

Allemand - Notions

Compétences

C++
Python
Matlab
Agile
Imagerie
Traitement du signal
Développement C, C , Java, Python, Matlab
Direction et management des projets
Research & Development

Centres d'intérêt

  • Computer Vision
  • Multi-Target Tracking
  • SLAM
  • Visual Inertial Odometry
  • 3D-reconstruction
  • Machine Learning
  • Deep Learning
  • Sensor Data Fusion