Samuel Kamande

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Polygon

Entity Ner Classification

Segmentation

Object Detection

Freelancer Overview

I am a detail-oriented Computer Science graduate with hands-on experience in data labeling and annotation for machine learning models, specializing in both computer vision and natural language processing domains. My work includes performing high-volume image annotation tasks such as bounding boxes, polygon mapping, and semantic segmentation, as well as text classification, sentiment labeling, and named entity recognition to ensure high-quality training data. I am proficient with annotation tools like Labelbox and CVAT, and skilled in Python, SQL, and Excel, allowing me to quickly adapt to new platforms and troubleshoot issues. My commitment to precision and quality assurance ensures that I consistently deliver accurate datasets that improve AI model performance.

Labeling Experience

Multi-Modal Object Detection & NLP Classification for AI Training

LabelboxImageBounding BoxPolygon

CS-driven Lead Annotator at Atlas Capture specializing in high-precision computer vision and NLP. I deliver 98%+ accuracy in bounding boxes and entity tagging, ensuring production-ready datasets for high-fidelity machine learning models.

CS-driven Lead Annotator at Atlas Capture specializing in high-precision computer vision and NLP. I deliver 98%+ accuracy in bounding boxes and entity tagging, ensuring production-ready datasets for high-fidelity machine learning models.

2025 - 2025

Education

Work History