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Ebingiye Nelvin Agbozu

Ebingiye Nelvin Agbozu

AI Model Evaluation & Prompt Engineering Specialist

Nigeria flagPort Harcourt, Nigeria
$30.00/hrExpertCVATLabel Studio

Key Skills

Software

CVATCVAT
Label StudioLabel Studio

Top Subject Matter

AI Training
Model Evaluation
Multi-Step Reasoning

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

RLHFRLHF
ClassificationClassification

Freelancer Overview

AI Model Evaluation & Prompt Engineering Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Niger Delta University (2016). AI-training focus includes data types such as Text, Geospatial, and Tiled Imagery and labeling workflows including RLHF and Classification.

ExpertEnglish

Labeling Experience

AI Model Evaluation & Prompt Engineering Specialist

TextRLHF
As an AI Model Evaluation & Prompt Engineering Specialist, I designed analytical problems and evaluated AI model outputs using RLHF-style methods. My responsibilities included creating multi-step reasoning prompts, assessing model outputs with structured metrics, and refining prompt designs to enhance evaluation rigor. The role required logical consistency checks and scenario simulations for robust AI system assessment. • Generated 50+ multi-step reasoning problems for use in RLHF workflows. • Evaluated machine learning outputs for correctness and reliability using RMSE, R², and F1-score. • Refined prompt engineering techniques to improve AI evaluation outcomes. • Simulated real-world use cases using synthetic datasets for comprehensive model assessment.

As an AI Model Evaluation & Prompt Engineering Specialist, I designed analytical problems and evaluated AI model outputs using RLHF-style methods. My responsibilities included creating multi-step reasoning prompts, assessing model outputs with structured metrics, and refining prompt designs to enhance evaluation rigor. The role required logical consistency checks and scenario simulations for robust AI system assessment. • Generated 50+ multi-step reasoning problems for use in RLHF workflows. • Evaluated machine learning outputs for correctness and reliability using RMSE, R², and F1-score. • Refined prompt engineering techniques to improve AI evaluation outcomes. • Simulated real-world use cases using synthetic datasets for comprehensive model assessment.

2024 - Present

Environmental Data Engineer & AI Integration Specialist

Classification
As an Environmental Data Engineer, I validated and annotated terabyte-scale geospatial datasets for model training and evaluation. Responsibilities included ensuring regulatory compliance, implementing QA/QC protocols, and calibrating annotation workflows for satellite imagery. Data labeling efforts supported predictive modeling in climate and environmental contexts. • Annotated and validated Landsat, Sentinel, and MODIS satellite imagery datasets. • Applied ISO 14001 QA/QC procedures to achieve regulatory-grade documentation. • Compared AI model predictions against ground-truth annotated data. • Standardized metadata and ensured geospatial data integrity throughout the annotation process.

As an Environmental Data Engineer, I validated and annotated terabyte-scale geospatial datasets for model training and evaluation. Responsibilities included ensuring regulatory compliance, implementing QA/QC protocols, and calibrating annotation workflows for satellite imagery. Data labeling efforts supported predictive modeling in climate and environmental contexts. • Annotated and validated Landsat, Sentinel, and MODIS satellite imagery datasets. • Applied ISO 14001 QA/QC procedures to achieve regulatory-grade documentation. • Compared AI model predictions against ground-truth annotated data. • Standardized metadata and ensured geospatial data integrity throughout the annotation process.

2021 - 2023

Geospatial Data Specialist

Classification
As a Geospatial Data Specialist, I executed spatial data QC processes for environmental mapping projects utilizing satellite imagery. My work included data format conversions, quality assurance checks, and documentation for geodatabase integrity. Consistency and calibration across multiple sensors ensured reliability of annotated data for downstream analysis. • Processed and validated Landsat, Sentinel-2, and MODIS imagery for change detection tasks. • Implemented QA/QC procedures including topology and attribute validation. • Converted geospatial data into interoperable formats to support labeling efforts. • Ensured metadata standardization across all annotation projects.

As a Geospatial Data Specialist, I executed spatial data QC processes for environmental mapping projects utilizing satellite imagery. My work included data format conversions, quality assurance checks, and documentation for geodatabase integrity. Consistency and calibration across multiple sensors ensured reliability of annotated data for downstream analysis. • Processed and validated Landsat, Sentinel-2, and MODIS imagery for change detection tasks. • Implemented QA/QC procedures including topology and attribute validation. • Converted geospatial data into interoperable formats to support labeling efforts. • Ensured metadata standardization across all annotation projects.

2019 - 2020

Education

N

Niger Delta University

Bachelor of Science, Microbiology

Bachelor of Science
2011 - 2016

Work History

G

Golden Viosam Nig Ltd

Environmental Data Engineer & AI Integration Specialist

Port Harcourt
2021 - 2023
S

ScanView Geospatial Integrated Services

Geospatial Data Specialist

Port Harcourt
2019 - 2020