Ernest Samuel

Key Skills

Software

Google Cloud Vertex AI

Top Subject Matter

Educational video content (Quiz shows)

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Video

Computer Code Programming

Text

Document

Top Task Types

Classification

Freelancer Overview

Data Engineering & AI Data Processing Volunteer. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Cloud Vertex AI. Education includes Master of Science, Ashesi University (2024) and Master of Advanced Studies, Swiss Federal Institute of Technology Zurich (2024). AI-training focus includes data types such as Video and labeling workflows including Classification.

Labeling Experience

Data Engineering & AI Data Processing Volunteer

Google Cloud Vertex AIVideoClassification

Developed and optimized data preprocessing pipelines for AI dataset creation focused on Ghana’s National Science & Maths Quiz. Processed and structured large-scale historical video datasets from YouTube for efficient extraction and annotation. Contributed to AI-ready dataset creation guided by best practices in supervised learning and data annotation. • Automated data cleaning and transformation to minimize manual effort and enhance reproducibility. • Improved dataset quality and usability, directly supporting enhanced model training. • Collaborated with remote teams using GitHub, Colab, and Slack for version control and workflow streamlining. • Ensured consistent documentation and reporting throughout data processing life cycle.

Developed and optimized data preprocessing pipelines for AI dataset creation focused on Ghana’s National Science & Maths Quiz. Processed and structured large-scale historical video datasets from YouTube for efficient extraction and annotation. Contributed to AI-ready dataset creation guided by best practices in supervised learning and data annotation. • Automated data cleaning and transformation to minimize manual effort and enhance reproducibility. • Improved dataset quality and usability, directly supporting enhanced model training. • Collaborated with remote teams using GitHub, Colab, and Slack for version control and workflow streamlining. • Ensured consistent documentation and reporting throughout data processing life cycle.

2023 - 2025

Education

Work History