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."

Labeling Experience

Education

Work History