Key Skills

Software

CVAT

Labelbox

LabelImg

Label Studio

OpenCV AI Kit (OAK)

Roboflow

SuperAnnotate

V7 Labs

Internal/Proprietary Tooling

Top Subject Matter

Object detection in agriculture

Object detection in Brazilian Documents

Object detection and OCR in Brazilian plates and container codes

Top Data Types

Computer Code Programming

Image

Video

Top Task Types

Bounding Box

Classification

Emotion Recognition

Object Detection

Question Answering

Freelancer Overview

I have extensive experience in data labeling and AI training data, particularly in the context of computer vision projects. During my tenure at Lyncas, I led the orchestration of MLOps infrastructure for computer vision projects, including the construction and annotation of datasets using tools like Label Studio and assisted labeling techniques. I was responsible for creating datasets for various tasks such as object detection, facial recognition, and OCR, ensuring high-quality and accurately labeled data to train robust machine learning models. Additionally, at the Universidade Federal de Juiz de Fora, I contributed to academic research by generating detection models for human and bovine faces, and classification models for bovine health, breed, and posture. My work involved the end-to-end process of dataset creation, from image processing to the implementation of automated training processes. My skills in Python, TensorFlow, PyTorch, and other machine learning frameworks, combined with my ability to work collaboratively on research projects, have enabled me to deliver precise and effective AI solutions.

Labeling Experience

Education

Work History