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Russell Ojegun

Russell Ojegun

Full-Stack Developer & AI Training Expert

NIGERIA flag
Lagos, Nigeria
$25.00/hrEntry LevelMercor

Key Skills

Software

MercorMercor

Top Subject Matter

Technology & Software Engineering
Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

TextText
ImageImage
Computer Code ProgrammingComputer Code Programming

Top Task Types

Bounding Box
Segmentation
Computer Programming Coding
Prompt Response Writing SFT
Function Calling

Freelancer Overview

In a professional setting, I have worked on preparing and structuring data used for automated processing, including document parsing and image-based workflows. This involved cleaning datasets, defining structured outputs, validating data quality, and collaborating with engineers to ensure consistency and usability for downstream processing.

Entry LevelGermanEnglishSpanish

Labeling Experience

Fine-Grained Attribute Annotation for Fashionpedia

ImageSegmentation
Managed the end-to-end data preparation lifecycle for a specialized computer vision project involving over 48,000 images. I designed and executed a multi-layered labeling strategy across 27 apparel categories and 19 apparel parts, implementing 294 fine-grained attribute labels. My work focused on establishing complex parent-child relationships between labels to support an experimental Mask R-CNN branch for visual attribute detection.

Managed the end-to-end data preparation lifecycle for a specialized computer vision project involving over 48,000 images. I designed and executed a multi-layered labeling strategy across 27 apparel categories and 19 apparel parts, implementing 294 fine-grained attribute labels. My work focused on establishing complex parent-child relationships between labels to support an experimental Mask R-CNN branch for visual attribute detection.

2024 - 2024

Semantic Segmentation for Electricity Monitoring

ImageSegmentation
Led the data collection and annotation efforts for an undergraduate research project focused on detecting defects in overhead power lines and insulators. I curated a custom dataset by capturing field imagery under diverse environmental conditions, including varying light intensities, camera angles, and fields of view. I performed pixel-level mask annotation (Polygon) and image augmentation to train a Mask R-CNN model. The project involved defining precise classes for "Normal" vs. "Defective" components, directly contributing to a system designed to automate hazardous infrastructure inspections and improve maintenance safety in the utility sector.

Led the data collection and annotation efforts for an undergraduate research project focused on detecting defects in overhead power lines and insulators. I curated a custom dataset by capturing field imagery under diverse environmental conditions, including varying light intensities, camera angles, and fields of view. I performed pixel-level mask annotation (Polygon) and image augmentation to train a Mask R-CNN model. The project involved defining precise classes for "Normal" vs. "Defective" components, directly contributing to a system designed to automate hazardous infrastructure inspections and improve maintenance safety in the utility sector.

2021 - 2021

Education

S

SCRIMBA

Certificate, Artificial Intelligence Engineering

Certificate
2025 - 2025
U

University of Benin

Bachelor of Engineering, Computer Engineering

Bachelor of Engineering
2021 - 2021

Work History

S

Snipfair

Fullstack Developer

Pretoria
2025 - 2025
E

Easy Edu Tech

Frontend Developer

N/A
2024 - 2025