Afolabi A.

Key Skills

Software

AWS SageMaker

Google Cloud Vertex AI

Top Subject Matter

Finance -Risk analysis and fraud detection

Healthcare

E-commerce

Top Data Types

Text

Image

Video

Top Task Types

Segmentation

Classification

Transcription

Fine-tuning

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

As an AI Engineer at Bright Next Technology, I worked extensively with structured and unstructured datasets, building and refining data pipelines using AWS Glue and Data Wrangler to ensure data quality, consistency, and accuracy for machine learning workflows. I have hands-on experience processing and validating large datasets including a project involving 50,000+ data points where I identified and resolved systemic data quality issues, reducing processing time by 57% and achieving a 98% client satisfaction rate. My background in Python, data validation pipelines, and machine learning model development gives me a strong foundation in understanding how training data quality directly impacts model performance. Combined with my detail-oriented approach developed through IT controls review at KPMG Nigeria where I assessed 150+ control documents across multiple enterprise systems I bring both technical precision and structured analytical thinking to data annotation and quality assurance work."

Education

Work History