Dennis Kikumu

Key Skills

Software

Appen

Clickworker

CloudFactory

CrowdSource

CVAT

Dataloop

Encord

Google Cloud Vertex AI

HiveMind

Kili Technology

Labelbox

Lionbridge

Mercor

Mindrift

Roboflow

Scale AI

Toloka

Telus

Top Subject Matter

self driving cars

store image

satellite image

Top Data Types

Image

Top Task Types

Bounding Box

Polygon

Point Key Point

Polyline

Entity Ner Classification

Freelancer Overview

I am a detail-oriented data annotation specialist with 4 years of hands-on experience supporting AI and machine learning projects across domains like computer vision, NLP, and medical imaging. I have managed complex labeling projects using platforms such as Toloka, Encord, and Label Studio, and am skilled in developing Python automation scripts to streamline annotation workflows and ensure high data quality. My background includes building automated quality control systems, designing custom annotation pipelines, and collaborating closely with data scientists to define effective labeling guidelines. I am proficient in Python, SQL, and JavaScript, and have a strong grasp of machine learning tools such as TensorFlow, PyTorch, and scikit-learn. I am committed to delivering accurate, high-quality datasets that accelerate AI model development.

Labeling Experience

image identity and objects

TolokaImageBounding BoxPolygon

I annotated healthcare, vehicle, and gaming images using bounding boxes in Toloka and Labelbox. I followed strict labeling guidelines, drew precise boxes around target objects, handled occlusions carefully, and ensured high-quality results through review and platform quality checks.

I annotated healthcare, vehicle, and gaming images using bounding boxes in Toloka and Labelbox. I followed strict labeling guidelines, drew precise boxes around target objects, handled occlusions carefully, and ensured high-quality results through review and platform quality checks.

2025 - 2025

Education

Work History