Key Skills

Software

Labelbox

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Text

Top Task Types

Action Recognition

Computer Programming Coding

Text Generation

Text Summarization

Freelancer Overview

As a Full Stack Mobile App Engineer, I have contributed to AI training data projects in collaboration with various companies. My expertise spans prompt engineering and editing, data labeling, and refining AI outputs for enhanced accuracy and usability. Leveraging my technical skills in programming languages like Python and JavaScript, I streamlined data workflows and ensured high-quality datasets for machine learning models. Being a native French speaker with advanced proficiency in English and intermediate Spanish, I excel in multilingual data annotation, particularly for projects requiring cultural and linguistic nuances. My background also includes developing robust applications and cloud solutions, giving me a comprehensive perspective on integrating AI systems into real-world applications. These combined experiences enable me to bring value to AI training and development projects.

Labeling Experience

Multilingual Data Labeling and Prompt Optimization Specialist

LabelboxComputer Code ProgrammingQuestion AnsweringText Generation

Collaborated on a large-scale AI training project focused on multilingual data labeling and annotation. The project involved curating and refining datasets across multiple languages, including French, English, to improve the performance of natural language processing models. My role included crafting and editing prompts for AI systems, ensuring accuracy, relevance, and cultural sensitivity. I developed efficient workflows to optimize labeling processes and utilized tools such as Python scripts to automate repetitive tasks. This experience honed my attention to detail, linguistic expertise, and ability to meet tight deadlines, positioning me as a reliable contributor to AI training initiatives.

Collaborated on a large-scale AI training project focused on multilingual data labeling and annotation. The project involved curating and refining datasets across multiple languages, including French, English, to improve the performance of natural language processing models. My role included crafting and editing prompts for AI systems, ensuring accuracy, relevance, and cultural sensitivity. I developed efficient workflows to optimize labeling processes and utilized tools such as Python scripts to automate repetitive tasks. This experience honed my attention to detail, linguistic expertise, and ability to meet tight deadlines, positioning me as a reliable contributor to AI training initiatives.

2023 - 2024

Education

Work History