Key Skills

Software

Labelbox

Scale AI

SuperAnnotate

CVAT

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Top Task Types

Computer Programming Coding

Data Collection

Freelancer Overview

I have a solid foundation in AI contributions, particularly in the areas of data labeling and training models, including experience with popular repositories like Hugging Face Transformers, Pix2Pix, OpenNMT, and ANY-TO-ANY. My involvement spans areas such as multimodal models, computer vision, and natural language processing. I have actively contributed to open-source projects, helping to refine datasets and improve model performance by focusing on practical applications and real-world data. In addition to hands-on contributions, I am adept at using graphical interfaces like GitHub Desktop for managing projects, which streamlines my collaboration and contribution process. With a background in working with machine learning models, data preprocessing, and an understanding of AI tools, I bring a methodical, detail-oriented approach to data labeling and model optimization tasks.

Labeling Experience

Multimodal Dataset Annotation for Hugging Face Transformers (Multimodal Models)

LabelboxImageEntity Ner Classification

I contributed to annotating datasets for multimodal models designed for text-image pairing in the Hugging Face Transformers repository. The task involved labeling image-text pairs for training models that could process both visual and textual data. This included entity recognition within the text and verifying that the relationships between images and text were accurate and consistent. The dataset comprised over 15,000 image-text pairs, and I implemented quality control measures to ensure annotation accuracy.

I contributed to annotating datasets for multimodal models designed for text-image pairing in the Hugging Face Transformers repository. The task involved labeling image-text pairs for training models that could process both visual and textual data. This included entity recognition within the text and verifying that the relationships between images and text were accurate and consistent. The dataset comprised over 15,000 image-text pairs, and I implemented quality control measures to ensure annotation accuracy.

2024

Text Annotation for OpenNMT Machine Translation

OtherTextTranslation Localization

In this project, I assisted with annotating bilingual datasets for machine translation models within the OpenNMT repository. My role involved translating and aligning text data between two languages, ensuring the accuracy and consistency of translations. The dataset consisted of over 20,000 sentence pairs, and I worked on verifying the quality of the translations and their alignment.

In this project, I assisted with annotating bilingual datasets for machine translation models within the OpenNMT repository. My role involved translating and aligning text data between two languages, ensuring the accuracy and consistency of translations. The dataset consisted of over 20,000 sentence pairs, and I worked on verifying the quality of the translations and their alignment.

2024 - 2024

Image Annotation for Pix2Pix Image-to-Image Translation

CVATImageObject Detection

I worked on annotating datasets for image-to-image translation tasks in the Pix2Pix repository. The primary focus was on labeling image regions for segmentation and identifying key objects for the model to translate between image types. This task required precise labeling of over 4,000 images, ensuring that each image-to-image pair was aligned correctly for accurate model training.

I worked on annotating datasets for image-to-image translation tasks in the Pix2Pix repository. The primary focus was on labeling image regions for segmentation and identifying key objects for the model to translate between image types. This task required precise labeling of over 4,000 images, ensuring that each image-to-image pair was aligned correctly for accurate model training.

2024 - 2024

Education

Work History