Amos W.

Key Skills

Software

Argilla

Appen

AWS SageMaker

CloudFactory

Data Annotation Tech

Mercor

Micro1

Mindrift

OneForma

Remotasks

Scale AI

Top Subject Matter

AI/ML for fraud detection

customer engagement

and document-related automation

Top Data Types

Image

Document

Text

Top Task Types

Object Detection

Entity (NER) Classification

Classification

Freelancer Overview

AI and ML Specialist — Safaricom PLC (2021–Present). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV and Jupyter Notebooks. Education includes Master of Science in Information Technology, Nairobi University (2020) and Bachelor of Business Information Technology, Multimedia University of Kenya (2014). AI-training focus includes data types such as Image, Document, and Text and labeling workflows including Object Detection, Entity (NER) Classification, and Classification.

Labeling Experience

Data Annotator

ImageBounding Box

Worked on the Handshake AI project involving large-scale data annotation and quality assurance for AI model training. Responsibilities included labeling and categorizing text, reviewing AI-generated responses for accuracy and relevance, and ensuring datasets met project guidelines and consistency standards. Contributed to improving machine learning model performance by performing detailed quality checks, correcting annotation errors, and maintaining high accuracy across tasks. Collaborated within fast-paced workflows while adhering to strict turnaround times, confidentiality requirements, and quality control measures.

2025 - Present

AI and ML Specialist — Safaricom PLC (2021–Present)

ImageObject DetectionEntity (NER) Classification

Worked as an AI and ML Specialist creating and deploying models for fraud detection and customer service using both image recognition and NLP workflows. The role involved preparing and processing labeled datasets for deep learning and integrating the resulting models into production systems. Model outputs supported downstream automation decisions for business processes. • Built deep learning solutions for image recognition and natural language processing use cases. • Prepared data for training/evaluation, including preprocessing and feature/model evaluation steps. • Integrated ML algorithms into production environments using cloud tooling for scalability. • Applied computer programming to implement and operationalize ML components.

2021 - Present

ICT Trainer and Technician — Multimedia University of Kenya (2019–2020)

Text

Provided hands-on training and practical guidance to learners on coding and technical skills used to build and work with AI/ML-capable systems. Training sessions focused on network administration, troubleshooting, and software installation that underpin later development of data and labeling pipelines. Supported students through guided practical work and technical projects. • Delivered instructional sessions for students and staff on technical software and system setup. • Guided participants in coding and practical ICT tasks that support AI development workflows. • Assisted with upgrading and configuring ICT infrastructure used for academic programs. • Provided troubleshooting and technical assistance for class and project environments.

2019 - 2020

Education

Work History