Fena Ndo

Key Skills

Software

Scale AI

Appen

CloudFactory

Top Subject Matter

Autonomous Driving

Retail Domain Expertise

Robotics Domain Expertise

Top Data Types

3D Sensor

Image

Top Task Types

Segmentation

Polygon

Freelancer Overview

Data Annotator (Freelance). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Appen, and CloudFactory. Education includes Bachelor of Science, University of Nairobi (2023). AI-training focus includes data types such as 3D Sensor and Image and labeling workflows including Segmentation and Polygon.

Labeling Experience

Data Annotator (Freelance)

Scale AI3D SensorSegmentation

I labeled 3D LiDAR point clouds and 2D images for self-driving car perception projects. I performed frame-accurate video annotation using bounding boxes and segmentation masks, ensuring coverage of objects such as cars, pedestrians, and cyclists. I also participated in reviewing other annotators' work and provided feedback to maintain high label quality. • 3D point cloud and 2D image annotation for autonomous vehicles • Used bounding boxes and segmentation masks for multiple object classes • Focused on achieving >95% annotator agreement • Provided feedback and peer review within the team

I labeled 3D LiDAR point clouds and 2D images for self-driving car perception projects. I performed frame-accurate video annotation using bounding boxes and segmentation masks, ensuring coverage of objects such as cars, pedestrians, and cyclists. I also participated in reviewing other annotators' work and provided feedback to maintain high label quality. • 3D point cloud and 2D image annotation for autonomous vehicles • Used bounding boxes and segmentation masks for multiple object classes • Focused on achieving >95% annotator agreement • Provided feedback and peer review within the team

2024 - Present

LiDAR Annotation Specialist

Cloudfactory3D SensorSegmentation

I worked on point cloud segmentation for off-road vehicle projects, labeling classes such as vegetation, rocks, and drivable ground. I managed annotation of fused camera and LiDAR data, handling challenging cases due to camera blur. I also trained new annotators in 3D bounding box alignment and best practices for sparse point clouds. • Point cloud segmentation focused on off-road autonomous vehicles • Annotated fused camera-LiDAR data with attention to quality • Addressed edge cases including camera blur and sparse points • Mentored and trained new team members in 3D annotation

I worked on point cloud segmentation for off-road vehicle projects, labeling classes such as vegetation, rocks, and drivable ground. I managed annotation of fused camera and LiDAR data, handling challenging cases due to camera blur. I also trained new annotators in 3D bounding box alignment and best practices for sparse point clouds. • Point cloud segmentation focused on off-road autonomous vehicles • Annotated fused camera-LiDAR data with attention to quality • Addressed edge cases including camera blur and sparse points • Mentored and trained new team members in 3D annotation

2023 - 2024

Image & Video Annotator

AppenImagePolygon

I annotated approximately 15,000 images for a fashion retail project involving polygon labeling of clothing items. I also labeled 3D cuboids for a warehouse robot simulation, ensuring accuracy and consistency of orientation. I created a quick reference guide for rare object classes to improve team performance. • Polygon labeling around diverse retail clothing items • 3D cuboid annotation for simulated warehouse environments • Developed a reference sheet to standardize rare object classes • Contributed to reduction of orientation errors by 12%

I annotated approximately 15,000 images for a fashion retail project involving polygon labeling of clothing items. I also labeled 3D cuboids for a warehouse robot simulation, ensuring accuracy and consistency of orientation. I created a quick reference guide for rare object classes to improve team performance. • Polygon labeling around diverse retail clothing items • 3D cuboid annotation for simulated warehouse environments • Developed a reference sheet to standardize rare object classes • Contributed to reduction of orientation errors by 12%

2023 - 2024

Education

Work History