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Mark Gitonga

AI Chatbot Response Designer (Concept Project)

Kenya flagNairobi, Kenya
$50.00/hrIntermediateAxiom AIClickworkerData Annotation Tech

Key Skills

Software

Axiom AI
ClickworkerClickworker
Data Annotation TechData Annotation Tech
Google Cloud Vertex AIGoogle Cloud Vertex AI
Kili TechnologyKili Technology

Top Subject Matter

Customer Support Automation
IT Helpdesk Support

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification

Freelancer Overview

AI Chatbot Response Designer (Concept Project). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Business Information Technology, Cooperative University of Kenya (2024). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT) and Classification.

IntermediateEnglish

Labeling Experience

IT Ticket Classification (Data Labeling Project)

TextClassification
The IT Helpdesk Ticket Classification project involved organizing and categorizing IT support tickets. Key issue groups such as network, hardware, and software were defined for streamlined response prioritization. Analysis of ticket patterns informed category development for improved helpdesk operations. • Categorized IT tickets into distinct groups for efficient routing • Used pattern analysis to refine ticket groups and enhance classification accuracy • Supported helpdesk optimization by improving ticket categorization • Facilitated data-driven responses through clear ticket classification

The IT Helpdesk Ticket Classification project involved organizing and categorizing IT support tickets. Key issue groups such as network, hardware, and software were defined for streamlined response prioritization. Analysis of ticket patterns informed category development for improved helpdesk operations. • Categorized IT tickets into distinct groups for efficient routing • Used pattern analysis to refine ticket groups and enhance classification accuracy • Supported helpdesk optimization by improving ticket categorization • Facilitated data-driven responses through clear ticket classification

Not specified

AI Chatbot Response Designer (Concept Project)

TextPrompt Response Writing SFT
The Customer Support Chatbot Concept Project involved designing and testing AI chatbot responses. Prompt engineering techniques were used to develop accurate and user-friendly replies through iterative testing. The focus was on enhancing chatbot usability and response quality for customer support scenarios. • Applied prompt engineering methodologies to create AI-generated responses • Iteratively tested and reviewed chatbot outputs for accuracy • Analyzed chatbot conversations to identify improvement points • Refined prompt design for better customer support chatbot performance

The Customer Support Chatbot Concept Project involved designing and testing AI chatbot responses. Prompt engineering techniques were used to develop accurate and user-friendly replies through iterative testing. The focus was on enhancing chatbot usability and response quality for customer support scenarios. • Applied prompt engineering methodologies to create AI-generated responses • Iteratively tested and reviewed chatbot outputs for accuracy • Analyzed chatbot conversations to identify improvement points • Refined prompt design for better customer support chatbot performance

Not specified

Education

C

Cooperative University of Kenya

Bachelor of Business Information Technology, Business Information Technology

Bachelor of Business Information Technology
2020 - 2024

Work History

C

Career Directions Limited

IT Intern

Nairobi
2025 - 2025
J

JKUAT

ICT Support Technician

Nairobi
2023 - 2023