Sarafina I.

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Axiom AI

Clickworker

Top Subject Matter

No subject matter listed

Top Data Types

Image

Document

Medical Dicom

Top Task Types

Bounding Box

Segmentation

Polygon

Polyline

Object Detection

Fine-tuning

Transcription

Computer Programming/Coding

Data Collection

Function Calling

Prompt + Response Writing (SFT)

Freelancer Overview

I am an ICT professional with a Master of Science (2021) and Bachelor of Science (2016) in Information and Communication Technology from the University of Nairobi. I have a solid foundation in computer systems, information processing, and digital workflows, which supports my ability to work effectively with structured data and technology-driven tasks. My academic background has strengthened my analytical thinking, attention to detail, and problem-solving skills, all of which are essential for high-quality data labeling and AI training work. I am highly interested in AI training data creation, including data labeling, annotation, classification, and quality validation tasks. I am comfortable following strict guidelines, working with consistency, and ensuring accuracy in repetitive data tasks. I am motivated to contribute to improving machine learning systems by providing clean, reliable, and well-structured datasets while continuously learning new tools and workflows in the AI field.

Labeling Experience

Structured Data Annotation & Classification for AI Training Simulation

Geospatial Tiled ImageryComputer Programming/Coding

The objective of this project was to support the creation of high-quality AI training datasets through accurate data labeling, classification, and annotation. The scope included working with structured data to ensure correct categorization, consistency across labels, and adherence to predefined annotation guidelines. The work focused on improving dataset reliability for machine learning models by ensuring clean, well-organized, and correctly labeled data suitable for supervised learning tasks. It also included quality checking and validation to reduce errors and improve overall dataset accuracy.

2020 - Present

Education

Work History