John Lerguna

Key Skills

Software

AWS SageMaker

Top Subject Matter

Medical imaging and healthcare data

Top Data Types

Image

Computer Code Programming

Medical Dicom

Top Task Types

Classification

Computer Programming/Coding

Prompt + Response Writing (SFT)

Question Answering

Freelancer Overview

AI/ML Data Preparation and Training Engineer. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include AWS SageMaker. Education includes Bachelor of Science, Adventist University of the Philippines (2017). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Classification.

Labeling Experience

AI/ML Data Preparation and Training Engineer

Aws SagemakerClassification

Developed data pipelines for medical image pre-processing, training, and testing for AI model development. Created pre-processing pipelines for DICOM and non-DICOM images to enable effective feature extraction and dataset preparation. Collaborated with data scientists to meet data requirements for experiments in the medical imaging domain. • Built and applied data processing scripts for medical images using Python and machine learning tools. • Conducted data cleaning, feature engineering, and data preparation for labeled datasets. • Facilitated training and testing phases by ensuring labeled data quality and integrity. • Supported the deployment and evaluation of AI models using processed and labeled image data.

Developed data pipelines for medical image pre-processing, training, and testing for AI model development. Created pre-processing pipelines for DICOM and non-DICOM images to enable effective feature extraction and dataset preparation. Collaborated with data scientists to meet data requirements for experiments in the medical imaging domain. • Built and applied data processing scripts for medical images using Python and machine learning tools. • Conducted data cleaning, feature engineering, and data preparation for labeled datasets. • Facilitated training and testing phases by ensuring labeled data quality and integrity. • Supported the deployment and evaluation of AI models using processed and labeled image data.

2022 - 2023

Education

Work History