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A
Achiki Damaris

Achiki Damaris

Software Engineer - Telecommunications

Kenya flagNairobi, Kenya
$15.00/hrIntermediateCVAT

Key Skills

Software

CVATCVAT

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
DocumentDocument
Geospatial Tiled ImageryGeospatial Tiled Imagery
ImageImage
TextText

Top Task Types

Data CollectionData Collection
Emotion RecognitionEmotion Recognition
Entity (NER) ClassificationEntity (NER) Classification
Evaluation/RatingEvaluation/Rating
Point/Key PointPoint/Key Point
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Question AnsweringQuestion Answering
RelationshipRelationship
SegmentationSegmentation
Text SummarizationText Summarization
TranscriptionTranscription

Freelancer Overview

I am a detail-oriented professional with a strong background in software engineering, data management, and customer experience, making me well-suited for roles in data labeling and AI training data. My experience includes analyzing and interpreting customer feedback and operational data at Telkom Kenya and NHIF, where I utilized tools like Power BI and Excel to create actionable insights and improve service delivery. I am skilled at organizing and maintaining both digital and physical records, ensuring data accuracy, confidentiality, and compliance with data protection standards. My proficiency in Python, data analysis, and digital collaboration tools allows me to contribute effectively to projects involving data annotation, quality control, and workflow optimization. I am passionate about leveraging technology to support AI initiatives and am committed to delivering high-quality, reliable training data for machine learning applications.

IntermediateSwahiliEnglish

Labeling Experience

CVAT

Data labeling specialist

CVATTextPoint Key PointEntity Ner Classification
The project entailed systematic annotation of multimodal datasets to support supervised machine learning workflows. Emphasis was placed on annotation consistency, inter-rater reliability, and adherence to standardized labeling schemas to enhance dataset validity for AI model training and evaluation.

The project entailed systematic annotation of multimodal datasets to support supervised machine learning workflows. Emphasis was placed on annotation consistency, inter-rater reliability, and adherence to standardized labeling schemas to enhance dataset validity for AI model training and evaluation.

2024 - 2025

Education

M

Moi University

Bachelor of Science, Information Sciences

Bachelor of Science
2018 - 2023

Work History

C

CCI Kenya

Customer Experience Specialist

Nairobi
2025 - 2025
T

Telkom Kenya

Software Engineer

Nairobi
2023 - 2024