Ndiki Muchiri

Key Skills

Software

Other

LabelImg

Telus

Scale AI

Remotasks

OpenCV AI Kit (OAK)

Top Subject Matter

Conversational AI/Chatbots

Image Classification/Annotation

AI Practice/Data Labeling

Top Data Types

Text

Image

Computer Code Programming

Top Task Types

Classification

Data Collection

Cuboid

RLHF

Function Calling

Computer Programming/Coding

Freelancer Overview

AI Chatbot Prompt Evaluation & Testing. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include data annotation and labelling Education includes Bachelor of Science Computer science, University of Nairobi (2025). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Freelance/Self-Directed AI Data Labeling

OtherTextData Collection

As a freelance AI practitioner, I independently carried out text and image labeling, chatbot evaluation, and AI model testing tasks. My focus was on creating efficient workflows that enhanced labeling accuracy and supported AI model development. I self-trained in various tools and frameworks relevant to contemporary AI annotation and evaluation practices. • Labeled large volumes of data for ML model input. • Evaluated AI chatbots to improve conversational performance. • Adapted and learned new labeling tools and workflows. • Built processes to ensure data quality and reproducibility.

As a freelance AI practitioner, I independently carried out text and image labeling, chatbot evaluation, and AI model testing tasks. My focus was on creating efficient workflows that enhanced labeling accuracy and supported AI model development. I self-trained in various tools and frameworks relevant to contemporary AI annotation and evaluation practices. • Labeled large volumes of data for ML model input. • Evaluated AI chatbots to improve conversational performance. • Adapted and learned new labeling tools and workflows. • Built processes to ensure data quality and reproducibility.

2023 - Present

Image & Text Annotation Project (Personal Practice)

LabelimgImageClassification

In a personal image and text annotation project, I labeled datasets for machine learning classification and tagging tasks. I utilized annotation tools such as LabelImg and CVAT to ensure accuracy and consistency across data. The experience allowed me to practice and demonstrate foundational data labeling skills essential for AI training pipelines. • Applied classification labels to images for ML tasks. • Used industry-standard tools for precise annotation. • Maintained high standards for labeling accuracy and consistency. • Managed and organized datasets for efficient workflow.

In a personal image and text annotation project, I labeled datasets for machine learning classification and tagging tasks. I utilized annotation tools such as LabelImg and CVAT to ensure accuracy and consistency across data. The experience allowed me to practice and demonstrate foundational data labeling skills essential for AI training pipelines. • Applied classification labels to images for ML tasks. • Used industry-standard tools for precise annotation. • Maintained high standards for labeling accuracy and consistency. • Managed and organized datasets for efficient workflow.

2023 - Present

AI Chatbot Prompt Evaluation & Testing

OtherText

I evaluated AI chatbot responses for accuracy, bias, and relevance as part of hands-on prompt testing projects. My work involved refining prompts to improve the quality of AI outputs and simulating diverse user queries to assess system performance. Throughout this project, I maintained strict attention to detail and documentation standards. • Conducted structured tests on chatbot output for relevance. • Refined and iterated prompts based on observed deficiencies. • Simulated real-world user scenarios for robust evaluation. • Ensured objective, consistent feedback for AI improvement.

I evaluated AI chatbot responses for accuracy, bias, and relevance as part of hands-on prompt testing projects. My work involved refining prompts to improve the quality of AI outputs and simulating diverse user queries to assess system performance. Throughout this project, I maintained strict attention to detail and documentation standards. • Conducted structured tests on chatbot output for relevance. • Refined and iterated prompts based on observed deficiencies. • Simulated real-world user scenarios for robust evaluation. • Ensured objective, consistent feedback for AI improvement.

2023 - Present

Education

Work History