Key Skills

Software

OpenCV AI Kit (OAK)

Top Subject Matter

Computer Vision and Image Processing Expert

Natural Language Processing (NLP) Specialist

Signal Processing and Machine Learning Professional

Top Data Types

Computer Code Programming

Top Label Types

Classification

Computer Programming Coding

Emotion Recognition

Geocoding

Tracking

Freelancer Overview

I am an engineering student specializing in Signal Processing and Machine Learning, with a strong foundation in data labeling and AI training data. My expertise spans across various domains, including computer vision, natural language processing (NLP), and signal processing. I have hands-on experience with Python and its libraries such as TensorFlow, PyTorch, Scikit-Learn, and Keras, which I have utilized in numerous projects involving data annotation and model training. My proficiency in tools like Labelbox and CVAT for image and video annotation, as well as Prodigy for text annotation, allows me to deliver high-quality labeled datasets that are critical for developing accurate and efficient AI models. My academic background in Electrical Engineering at the University of the Republic (UdelaR) has equipped me with a deep understanding of machine learning principles and signal processing techniques. I have applied this knowledge in practical settings, working on projects that require meticulous data labeling and annotation to ensure the reliability of machine learning models. Additionally, my intermediate/high capacity in web programming and advanced use of software like GNU Radio and LaTeX further enhance my technical skill set. My commitment to continuous learning and my ability to adapt quickly to new technologies make me a valuable asset in the field of AI data labeling and training.

Labeling Experience

Education

Work History