Angel Bautista

Key Skills

Software

Labelbox

Scale AI

Other

Top Subject Matter

Ecology/conservation Domain Expertise

AI Quality Assurance

Top Data Types

Image

Text

Computer Code Programming

Top Task Types

Classification

Freelancer Overview

AI Research and Development Specialist. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Scale AI, and Other. Education includes Master of Science, Georgia Institute of Technology (2023) and Bachelor of Science, Georgia Institute of Technology (2020). AI-training focus includes data types such as Image and Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

AI Quality Assurance and Testing

OtherText

I performed testing and validation of AI models, ensuring that outputs met key standards for precision, recall, and usability. I analyzed AI system results and provided structured feedback for continuous improvement. My focus was on delivering reliable AI-driven application performance across varied scenarios.• Collaborated with QA engineers for continuous integration workflow • Conducted usability testing and validation of AI models • Provided detailed analysis and optimization suggestions • Implemented structured testing protocols for data-driven models

I performed testing and validation of AI models, ensuring that outputs met key standards for precision, recall, and usability. I analyzed AI system results and provided structured feedback for continuous improvement. My focus was on delivering reliable AI-driven application performance across varied scenarios.• Collaborated with QA engineers for continuous integration workflow • Conducted usability testing and validation of AI models • Provided detailed analysis and optimization suggestions • Implemented structured testing protocols for data-driven models

2021 - 2022

AI Research and Development Specialist

LabelboxImageClassification

I led AI-driven research projects focused on leveraging machine learning to monitor wildlife populations, using data annotation for model training and validation. I developed and fine-tuned AI models using large-scale ecological datasets and ensured the accuracy and quality of labeled data for optimal algorithm performance. My work contributed to more accurate predictions for ecological monitoring and species detection.• Utilized platforms like Labelbox and Scale AI for image annotation tasks • Ensured high-quality labeled data for model training and validation • Collaborated with scientists to integrate environmental factors into labeling tasks • Conducted research to improve AI tool accuracy in real-world scenarios

I led AI-driven research projects focused on leveraging machine learning to monitor wildlife populations, using data annotation for model training and validation. I developed and fine-tuned AI models using large-scale ecological datasets and ensured the accuracy and quality of labeled data for optimal algorithm performance. My work contributed to more accurate predictions for ecological monitoring and species detection.• Utilized platforms like Labelbox and Scale AI for image annotation tasks • Ensured high-quality labeled data for model training and validation • Collaborated with scientists to integrate environmental factors into labeling tasks • Conducted research to improve AI tool accuracy in real-world scenarios

2019 - 2020

Education

Work History