Del Ernesto Akubueze

Key Skills

Software

Label Studio

Other

Top Subject Matter

LLM Training

Nlp Domain Expertise

Machine Learning

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

AI/ML Engineer & Data Annotation Contributor, Crea8orz International. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Other. Education includes Bachelor of Engineering, University of Nigeria, Nsukka (2023) and Diploma, University of Lagos (2016). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

AI/ML Engineer & Data Annotation Contributor, Crea8orz International

Label StudioTextClassification

In this ongoing role, I support AI systems development by preparing and refining training datasets for machine learning and NLP models. My work involves structured data annotation to boost model learning accuracy and evaluating AI-generated outputs to improve dataset quality. I maintain strict standards to ensure dataset quality and annotation accuracy. • Performed structured data labeling and annotation for ML and NLP. • Built automated pipelines for dataset cleaning. • Evaluated AI outputs and enhanced datasets. • Ensured high annotation accuracy across tasks.

In this ongoing role, I support AI systems development by preparing and refining training datasets for machine learning and NLP models. My work involves structured data annotation to boost model learning accuracy and evaluating AI-generated outputs to improve dataset quality. I maintain strict standards to ensure dataset quality and annotation accuracy. • Performed structured data labeling and annotation for ML and NLP. • Built automated pipelines for dataset cleaning. • Evaluated AI outputs and enhanced datasets. • Ensured high annotation accuracy across tasks.

2025 - Present

AI/ML Engineer (LLM & Data Workflows), Healthcare Tech

Label StudioText

As an AI/ML Engineer, I contributed to LLM-based systems by optimizing conversational data and evaluating model responses. My responsibilities included refining AI responses and structuring datasets according to annotation logic for training workflows. I focused on supporting the training of conversational AI through structured labeling. • Organized and labeled conversational datasets. • Applied annotation guidelines for response evaluation. • Enhanced AI output quality through systematic labeling. • Supported model improvement via human-in-the-loop evaluation.

As an AI/ML Engineer, I contributed to LLM-based systems by optimizing conversational data and evaluating model responses. My responsibilities included refining AI responses and structuring datasets according to annotation logic for training workflows. I focused on supporting the training of conversational AI through structured labeling. • Organized and labeled conversational datasets. • Applied annotation guidelines for response evaluation. • Enhanced AI output quality through systematic labeling. • Supported model improvement via human-in-the-loop evaluation.

2024 - 2025

Python Developer (Data Processing & ML Support), New Kite Data Labs

OtherTextClassification

As a Python Developer supporting data processing and machine learning workflows, I prepared, cleaned, and optimized datasets for model training. My work included managing dataset quality through data extraction, transformation, and error correction. This ensured that datasets used for AI training were accurate and reliable. • Cleaned and structured raw data for machine learning training. • Developed scripts for data extraction and transformation. • Addressed inconsistencies and applied corrections to datasets. • Assisted in data labeling and dataset optimization efforts.

As a Python Developer supporting data processing and machine learning workflows, I prepared, cleaned, and optimized datasets for model training. My work included managing dataset quality through data extraction, transformation, and error correction. This ensured that datasets used for AI training were accurate and reliable. • Cleaned and structured raw data for machine learning training. • Developed scripts for data extraction and transformation. • Addressed inconsistencies and applied corrections to datasets. • Assisted in data labeling and dataset optimization efforts.

2022 - 2023

Education

Work History