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L

Lucas Fernandez

Software engineer - Image Data Labeler for Object Recognition System

SWEDEN flag
Uppsala, Sweden
$20.00/hrEntry LevelLabel StudioOpencv AI Kit Oak

Key Skills

Software

Label StudioLabel Studio
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)

Top Subject Matter

Smart wearable technology - object recognition and fall detection
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Classification
Bounding Box

Freelancer Overview

Machine Learning Intern - Image Data Labeler for Object Recognition System. Education includes Bachelor of Science, Aix-Marseille University (2020) and Bachelor of Science (Exchange Year), Umeå University (2020). AI-training focus includes data types such as Image and labeling workflows including Classification.

Entry LevelEnglishFrench

Labeling Experience

Machine Learning Intern - Image Data Labeler for Object Recognition System

ImageClassification
During my machine learning internship, I was responsible for labeling images as part of an object recognition system for Google Glass. I created datasets and annotated image data to improve the accuracy and performance of machine learning models. My tasks included organizing, labeling, and integrating real-time image data into the model training pipeline. • Annotated large volumes of images for object detection. • Ensured high-quality labeling for robust model performance. • Used Android and internal tools for dataset creation and management. • Supported real-time data integration for wearable device models.

During my machine learning internship, I was responsible for labeling images as part of an object recognition system for Google Glass. I created datasets and annotated image data to improve the accuracy and performance of machine learning models. My tasks included organizing, labeling, and integrating real-time image data into the model training pipeline. • Annotated large volumes of images for object detection. • Ensured high-quality labeling for robust model performance. • Used Android and internal tools for dataset creation and management. • Supported real-time data integration for wearable device models.

2021 - 2021

Education

U

Uppsala University

Master of Science (Exchange Semester), Machine Learning

Master of Science (Exchange Semester)
2021 - 2022
A

Aix-Marseille University

Master of Science, Machine Learning

Master of Science
2020 - 2022

Work History

R

Recap Power

Software Engineer

Uppsala
2024 - Present
E

Enqlare

Software Developer

Stockholm
2022 - 2024