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Dunn Chumo

Dunn Chumo

Network Support Engineer - Telecommunications

Kenya flagNairobi, Kenya
$15.00/hrIntermediateMercorOneformaSama

Key Skills

Software

MercorMercor
OneFormaOneForma
SamaSama
Snorkel AISnorkel AI

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
Medical DicomMedical Dicom
VideoVideo

Top Task Types

Action RecognitionAction Recognition
ClassificationClassification
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

I am a Computer Science graduate with hands-on experience in network troubleshooting, data organization, and technical support within a university environment. My background has given me a strong attention to detail, especially when diagnosing connectivity issues, configuring network devices, and designing structured network topologies using tools like Cisco Packet Tracer and Wireshark. I am adept at following precise protocols and documenting technical processes, which are essential for high-quality data labeling and annotation work. My experience in planning device segmentation and simulating network configurations has strengthened my analytical skills and my ability to work with structured data in complex environments. I am eager to apply my technical knowledge and meticulous approach to contribute to accurate and reliable AI training data projects.

IntermediateSwahiliEnglish

Labeling Experience

AI Data Annotation

TextClassification
Working on practice and academic datasets involving text classification and categorization tasks. Responsibilities included labeling text data based on predefined categories, reviewing entries for accuracy and consistency, and identifying ambiguous or unclear cases. Appling structured annotation guidelines and maintained high attention to detail across datasets. Focusing on ensuring data quality, consistency, and usability for machine learning model training.

Working on practice and academic datasets involving text classification and categorization tasks. Responsibilities included labeling text data based on predefined categories, reviewing entries for accuracy and consistency, and identifying ambiguous or unclear cases. Appling structured annotation guidelines and maintained high attention to detail across datasets. Focusing on ensuring data quality, consistency, and usability for machine learning model training.

2026 - Present

Video Data Annotation (Object Tracking & Event Labeling)

VideoObject Detection
Annotated video datasets by performing frame-by-frame analysis, including object detection, bounding box creation, and tracking objects across sequences. Labeled specific events and actions within videos according to defined annotation guidelines. Ensured temporal consistency, handled occlusions, and maintained high precision in fast-moving or complex scenes. Conducted quality checks to verify annotation accuracy and consistency across datasets.

Annotated video datasets by performing frame-by-frame analysis, including object detection, bounding box creation, and tracking objects across sequences. Labeled specific events and actions within videos according to defined annotation guidelines. Ensured temporal consistency, handled occlusions, and maintained high precision in fast-moving or complex scenes. Conducted quality checks to verify annotation accuracy and consistency across datasets.

2025 - 2025

Education

K

Kabarak University

Bachelor of Science, Computer Science

Bachelor of Science
2025 - 2025

Work History

K

Kabarak University

IT/Network Intern

Nakuru
2023 - 2023