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Edigar Nyabuto

Edigar Nyabuto

Software Engineer Attachee

Kenya flagKiambu, Kenya
$15.00/hrIntermediateAppenClickworker

Key Skills

Software

AppenAppen
ClickworkerClickworker

Top Subject Matter

IT
Finance
E-commerce

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
AudioAudio

Top Task Types

SegmentationSegmentation
ClassificationClassification
TranscriptionTranscription
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

With experience contributing to major platforms such as uTest, RAY AI, and Crowdgen by Appen, I have developed a specialized skill set in high-precision data annotation and human-in-the-loop validation for machine learning models. My background involves performing meticulous labeling tasks across diverse datasets, ensuring that training data meets the rigorous quality standards required for AI optimization. By leveraging a strong technical foundation in Python and SQL , I am able to approach complex labeling guidelines with an analytical perspective, effectively resolving ambiguities and maintaining data integrity. This practical experience, combined with a certification in Software Development and AI for Software Engineering , allows me to bridge the gap between raw data and impactful AI solutions through consistent accuracy and detailed documentation.

IntermediateEnglishSwahili

Labeling Experience

Crowdgen by Appen

AudioTranscription
I am currently engaged in a high-precision Audio Transcription and linguistic validation project, focused on enhancing the accuracy of speech recognition models. Utilizing my native proficiency in English and Swahili, I am transcribing complex audio data into structured text while ensuring the preservation of cultural nuances and dialectal variations. My role involves the meticulous labeling of speaker turns, background noise, and linguistic markers to provide a high-fidelity dataset for AI training. By applying my technical background in Software Engineering, I am also identifying and documenting systemic patterns in transcription errors to help refine the model's underlying processing logic.

I am currently engaged in a high-precision Audio Transcription and linguistic validation project, focused on enhancing the accuracy of speech recognition models. Utilizing my native proficiency in English and Swahili, I am transcribing complex audio data into structured text while ensuring the preservation of cultural nuances and dialectal variations. My role involves the meticulous labeling of speaker turns, background noise, and linguistic markers to provide a high-fidelity dataset for AI training. By applying my technical background in Software Engineering, I am also identifying and documenting systemic patterns in transcription errors to help refine the model's underlying processing logic.

2026 - Present

RAY AI

ImageData Collection
Currently, I am contributing to the development of robust computer vision models by managing large-scale Image Data Collection and Annotation workflows. My work focuses on gathering diverse, high-quality visual data tailored to specific environmental and technical requirements to ensure datasets remain representative and free of bias. By leveraging my background in troubleshooting and analytical thinking, I am validating collected images for clarity, resolution, and relevance before they are integrated into the training pipeline. This ongoing role involves applying Agile methodologies to maintain data delivery standards while ensuring strict adherence to technical metadata requirements.

Currently, I am contributing to the development of robust computer vision models by managing large-scale Image Data Collection and Annotation workflows. My work focuses on gathering diverse, high-quality visual data tailored to specific environmental and technical requirements to ensure datasets remain representative and free of bias. By leveraging my background in troubleshooting and analytical thinking, I am validating collected images for clarity, resolution, and relevance before they are integrated into the training pipeline. This ongoing role involves applying Agile methodologies to maintain data delivery standards while ensuring strict adherence to technical metadata requirements.

2026 - Present

uTest by Applause Inc

ImageData Collection
In this project, I contributed to the development of robust computer vision models by managing large-scale Image Data Collection and Annotation workflows. My work focused on gathering diverse, high-quality visual data tailored to specific environmental and technical requirements, ensuring the datasets were representative and free of bias. By leveraging my background in troubleshooting and analytical thinking, I validated collected images for clarity, resolution, and relevance before they were passed to the training pipeline.

In this project, I contributed to the development of robust computer vision models by managing large-scale Image Data Collection and Annotation workflows. My work focused on gathering diverse, high-quality visual data tailored to specific environmental and technical requirements, ensuring the datasets were representative and free of bias. By leveraging my background in troubleshooting and analytical thinking, I validated collected images for clarity, resolution, and relevance before they were passed to the training pipeline.

2022 - 2024

Education

Z

Zetech University

Bachelor of Science, Software Engineering

Bachelor of Science
2022 - 2025

Work History

T

The Judiciary Rok

Software Engineer Attachee

Kiambu
2025 - 2025