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Joseph Gichuki

Joseph Gichuki

LLM Training & Text Annotation Specialist for NLP and AI Systems

Kenya flagNairobi, Kenya
$10.00/hrExpertDoccanoLabelboxLabel Studio

Key Skills

Software

DoccanoDoccano
LabelboxLabelbox
Label StudioLabel Studio
ProdigyProdigy
Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
TextText

Top Task Types

Entity Ner Classification
Evaluation Rating
Fine Tuning
Prompt Response Writing SFT
Question Answering

Freelancer Overview

I am an AI and NLP specialist with over two years of hands-on experience in data labeling, model evaluation, and fine-tuning for large language models. My background in Computer Science (BSc, ongoing MSc) has given me strong foundations in machine learning, natural language processing, and deep learning architectures. I have worked on projects involving text classification, summarization, translation, chatbot development, and prompt-response generation. I bring expertise in annotation tools such as Doccano, Label Studio, Prodigy, and Labelbox, combined with proficiency in Python, Hugging Face Transformers, and PyTorch. My work includes designing and evaluating training data pipelines, conducting prompt engineering, and supporting ethical AI development for underrepresented languages such as Kiswahili. I am passionate about building high-quality datasets that enable reliable, safe, and impactful AI systems.

ExpertFrenchEnglishSpanish

Labeling Experience

Text Summarization Dataset Annotation

OtherTextEntity Ner ClassificationText Summarization
Worked on annotating and cleaning text datasets for abstractive summarization research. Tasks included entity recognition, classification, and writing prompt–response pairs to support large language model training. Conducted evaluation and quality assurance to ensure high consistency and accuracy. The project contributed to the development of a neural-based summarization system as part of my undergraduate research.

Worked on annotating and cleaning text datasets for abstractive summarization research. Tasks included entity recognition, classification, and writing prompt–response pairs to support large language model training. Conducted evaluation and quality assurance to ensure high consistency and accuracy. The project contributed to the development of a neural-based summarization system as part of my undergraduate research.

2022 - 2025

Education

J

Jomo Kenyatta University of Agriculture and Technology

Bachelor of Science, Computer Science

Bachelor of Science
2021 - 2023
U

University of Nairobi

Master of Science, Computer Science

Master of Science
2025

Work History

U

University of Nairobi

Graduate Research Assistant

Nairobi
2025 - Present
K

Kenya Advanced Institute of Science and Technology (KAIST)

AI & Machine Learning Intern

Nairobi
2023 - 2023