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Mark Wanjau

Mark Wanjau

Automated Entity Extraction and Labeling Lead

Kenya flagNairobi, Kenya
$12.00/hrIntermediateGoogle Cloud Vertex AI

Key Skills

Software

Google Cloud Vertex AIGoogle Cloud Vertex AI

Top Subject Matter

Automated News Content
Entity Extraction
Brand Consistency

Top Data Types

TextText
ImageImage

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

As a Full-Stack Engineer and creator of Huku Kenya, I have hands-on experience working directly with large language models including Gemini, Llama, and Grok — integrating them into automated content pipelines across 36+ categories. This work required a deep understanding of how AI models process and generate content, as well as the critical role that quality training data plays in model performance. I have extensive experience in prompt engineering, entity extraction, and evaluating AI-generated outputs for accuracy and consistency. What sets me apart from typical annotators is my technical background — I understand AI systems from the ground up, not just as an end user. I am comfortable working with large volumes of data, identifying edge cases, and maintaining strict quality standards at scale. My experience managing cloud infrastructure and automation workflows means I am highly organized, detail-oriented, and capable of handling complex, high-volume annotation tasks efficiently.

IntermediateEnglishSwahili

Labeling Experience

Automated Entity Extraction and AI Labeling Engineer

TextEntity Ner Classification
Developed a system to automatically extract entities and match logos for news articles, ensuring brand consistency across multiple categories. Implemented automated content pipelines integrating various AI models for large-scale text and image generation. Designed workflows that involve entity extraction, prompt engineering, and end-to-end automation of labeling tasks. • Automated entity recognition for diverse news categories • Integrated AI models using API for labeling tasks • Employed entity extraction and data augmentation strategies • Maintained scalable, reliable content labeling automation.

Developed a system to automatically extract entities and match logos for news articles, ensuring brand consistency across multiple categories. Implemented automated content pipelines integrating various AI models for large-scale text and image generation. Designed workflows that involve entity extraction, prompt engineering, and end-to-end automation of labeling tasks. • Automated entity recognition for diverse news categories • Integrated AI models using API for labeling tasks • Employed entity extraction and data augmentation strategies • Maintained scalable, reliable content labeling automation.

2024 - Present

Education

M

Moringa School

Certificate in Software Engineering, Software Engineering

Certificate in Software Engineering
2021 - 2023
K

Kenya Conservatoire of Music

Certificate in Piano Theory and Practical, Music Theory and Practical Performance

Certificate in Piano Theory and Practical
2005 - 2018

Work History

H

Huku Kenya

Founder / Lead Systems Architect

Ruiru
2024 - Present