Reda Mohssine

Key Skills

Software

Clickworker

LabelImg

Label Studio

SuperAnnotate

Internal/Proprietary Tooling

Argilla

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Video

Top Task Types

Audio Recording

Classification

Text Generation

Freelancer Overview

Detail-oriented Engineering student with hands-on experience in generating high-quality training datasets for advanced Machine Learning and Computer Vision applications. I possess a strong technical understanding of the data pipeline, from raw sensor input to model training. My expertise is centered on multi-modal data annotation, including 2D object detection (Bounding Boxes, Polygons) using tools like LabelMe, and complex 3D spatial data. I have worked directly with autonomous system components like LiDAR, SLAM, and ROS2, making me exceptionally qualified for 3D Point Cloud and Sensor Fusion tasks, which often require precise spatial reasoning and quality control.

Labeling Experience

Autonomous Navigation & 3D Sensor Data

Internal Proprietary ToolingGeospatial Tiled ImageryPoint Key PointClassification

Analyzed and processed multi-modal sensor data (LiDAR, Camera feeds) for an autonomous guide robot using ROS2. Gained deep familiarity with 3D spatial data, obstacle avoidance, and Point Cloud structure. Used SLAM principles for high-precision mapping and environment construction, directly supporting downstream navigation algorithms. This experience involved precise Cuboid annotation for obstacle recognition.

Analyzed and processed multi-modal sensor data (LiDAR, Camera feeds) for an autonomous guide robot using ROS2. Gained deep familiarity with 3D spatial data, obstacle avoidance, and Point Cloud structure. Used SLAM principles for high-precision mapping and environment construction, directly supporting downstream navigation algorithms. This experience involved precise Cuboid annotation for obstacle recognition.

2023 - 2025

LLM Evaluation & Domain Expert Review (French/Technical)

ArgillaTextTranslation LocalizationRLHF

Performed expert-level LLM evaluation (RLHF), ranking and scoring AI responses based on safety, helpfulness, and factual accuracy. Leveraged industrial domain expertise (Logistics, Optimization, and Financial modeling) to fact-check complex technical outputs. Also provided high-quality Translation and Localization review for French and Arabic content.

Performed expert-level LLM evaluation (RLHF), ranking and scoring AI responses based on safety, helpfulness, and factual accuracy. Leveraged industrial domain expertise (Logistics, Optimization, and Financial modeling) to fact-check complex technical outputs. Also provided high-quality Translation and Localization review for French and Arabic content.

2024

Computer Vision Dataset Annotation (YOLO)

LabelimgImageBounding BoxSegmentation

Executed end-to-end 2D annotation for a custom dataset used to train a YOLO object detection model. Primary tasks included creating thousands of precise Bounding Box labels for plastic waste, ensuring pixel-level accuracy. Conducted thorough Quality Assurance (QA) reviews against client specifications to maximize Intersection-over-Union (IoU) scores and model performance.

Executed end-to-end 2D annotation for a custom dataset used to train a YOLO object detection model. Primary tasks included creating thousands of precise Bounding Box labels for plastic waste, ensuring pixel-level accuracy. Conducted thorough Quality Assurance (QA) reviews against client specifications to maximize Intersection-over-Union (IoU) scores and model performance.

2024

Education

Work History