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Okolo Onochie Isaiah

Okolo Onochie Isaiah

AI data annotator in power generation,any CNN real time annotating project, etc

Nigeria flagAbuja, Nigeria
$10.00/hrIntermediateInternal Proprietary ToolingLabelboxLabelimg

Key Skills

Software

Internal/Proprietary Tooling
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio

Top Subject Matter

Agriculture/Crop Health Diagnostics
Surveillance/Real-Time Monitoring
Legal Services & Contract Review

Top Data Types

ImageImage
VideoVideo
TextText
DocumentDocument

Top Task Types

Classification

Freelancer Overview

AI Project Group Leader – Crop Health Model Training. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include TensorFlow and Keras. Education includes Bachelor of Science, Alex Ekwueme Federal University Ndufu-Alike Ikwo Ebonyi State (2025). AI-training focus includes data types such as Image and Video and labeling workflows including Classification.

IntermediateEnglish

Labeling Experience

AI Project Group Leader – Automated CCTV AI Model

VideoClassification
Developed and supported an automated real-time monitoring system using CCTV data and AI models. Responsibilities included curating and labeling video clips for supervised machine learning applications in surveillance and anomaly detection. Ensured labeled video data captured relevant features for proper model training and evaluation. • Identified and classified activity in video sequences. • Maintained high annotation quality for surveillance data. • Utilized AI tools to cross-verify labeled segments. • Improved labeling protocol based on model feedback.

Developed and supported an automated real-time monitoring system using CCTV data and AI models. Responsibilities included curating and labeling video clips for supervised machine learning applications in surveillance and anomaly detection. Ensured labeled video data captured relevant features for proper model training and evaluation. • Identified and classified activity in video sequences. • Maintained high annotation quality for surveillance data. • Utilized AI tools to cross-verify labeled segments. • Improved labeling protocol based on model feedback.

Not specified

AI Project Group Leader – Crop Health Model Training

ImageClassification
Led a project group in the training and deployment of a CNN machine learning model for real-time classification of crop health anomalies. The experience included sourcing, organizing, and annotating agricultural image datasets for supervised learning. The role involved close work with AI models to ensure quality labeled data for both training and validation. • Prepared and labeled image data for machine learning pipelines. • Applied quality control to ensure dataset accuracy. • Validated model output against labeled data for diagnostic precision. • Collaborated on refining annotation guidelines for image-based plant health detection.

Led a project group in the training and deployment of a CNN machine learning model for real-time classification of crop health anomalies. The experience included sourcing, organizing, and annotating agricultural image datasets for supervised learning. The role involved close work with AI models to ensure quality labeled data for both training and validation. • Prepared and labeled image data for machine learning pipelines. • Applied quality control to ensure dataset accuracy. • Validated model output against labeled data for diagnostic precision. • Collaborated on refining annotation guidelines for image-based plant health detection.

Not specified

Education

A

Alex Ekwueme Federal University Ndufu-Alike Ikwo Ebonyi State

Bachelor of Science, Electrical and Electronic Engineering

Bachelor of Science
2020 - 2025

Work History

I

Intel Nigeria Limited

Engineering Intern

Abuja
2024 - 2024