Leakey Jura

Key Skills

Software

Roboflow

CrowdSource

Appen

Labelbox

Mighty AI

Top Subject Matter

Clinical AI

Sepsis risk prediction

Healthcare machine learning

Top Data Types

Text

Image

Medical Dicom

Top Task Types

Bounding Box

Segmentation

Polygon

Cuboid

Object Detection

Question Answering

Evaluation Rating

Text Summarization

Point Key Point

Classification

Freelancer Overview

AI Data Labeling and Biomedical Research Specialist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. AI-training focus includes data types such as Medical and DICOM and labeling workflows including Classification.

Labeling Experience

Clinical reviewer

TextObject Detection

Review clinical aspects of pathology and anatomy

Review clinical aspects of pathology and anatomy

2024 - Present

AI Data Labeling and Biomedical Research Specialist

LabelboxClassification

Developed machine learning training datasets for sepsis prediction using the MIMIC-IV critical care database. Extracted and annotated structured clinical variables such as laboratory results, vital signs, and patient demographics for model input. Applied biomedical NLP tools to clinical text and ensured quality control of labeled data for healthcare AI models. • Collaborated with team workflows to maintain high-quality standardization. • Utilized BioBERT for clinical text analysis and annotation. • Ensured datasets were formatted for use in random forest and gradient boosting models. • Performed data cleaning, normalization, and feature engineering steps.

Developed machine learning training datasets for sepsis prediction using the MIMIC-IV critical care database. Extracted and annotated structured clinical variables such as laboratory results, vital signs, and patient demographics for model input. Applied biomedical NLP tools to clinical text and ensured quality control of labeled data for healthcare AI models. • Collaborated with team workflows to maintain high-quality standardization. • Utilized BioBERT for clinical text analysis and annotation. • Ensured datasets were formatted for use in random forest and gradient boosting models. • Performed data cleaning, normalization, and feature engineering steps.

2023 - Present

Medical annotations

TextObject Detection

Identification of major anatomical structures in sketches and fine-tuning to ensure key and specific analysis

Identification of major anatomical structures in sketches and fine-tuning to ensure key and specific analysis

2023 - 2025

Education

Work History