Dismas Nyatenya

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

Data Annotation Tech

Encord

LabelImg

Redbrick AI

Remotasks

Scale AI

Labelbox

Top Subject Matter

Self-Driving Car Imagery and Computer Vision Annotation

LLM Evaluation and Multilingual Text Generation

Healthcare Data Annotation for AI Models

Top Data Types

Document

Medical Dicom

Video

Top Task Types

Data Collection

Diagnosis

Evaluation Rating

Object Detection

Question Answering

Freelancer Overview

Experienced AI Training Data Specialist with over 5 years of expertise in data labeling, annotation, and quality assurance for high-impact AI projects. Skilled in computer vision applications, I have contributed to developing robust training datasets for self-driving cars by annotating imagery for object detection, lane recognition, and semantic segmentation. My work has supported industry leaders in creating safer and more efficient autonomous vehicle systems. In addition to computer vision, I have extensive experience evaluating and fine-tuning Large Language Models (LLMs) in English and Spanish. This includes assessing model outputs for accuracy, cultural relevance, and alignment with user needs. My meticulous attention to detail, combined with a deep understanding of AI workflows, allows me to deliver datasets of exceptional quality. With a proven track record in versatile AI domains, I am adept at meeting project goals and ensuring the integrity of training data for cutting-edge AI systems.

Labeling Experience

Healthcare Data Annotation for AI Diagnostics

Scale AIVideo

Labeled and segmented over 50,000 medical images (X-rays, MRIs, and CT scans) for disease detection and diagnosis. Annotated clinical text data for natural language processing (NLP) tasks, including extracting entities like symptoms, diagnoses, and medications. Ensured compliance with HIPAA and other data protection regulations while maintaining over 98% annotation accuracy. Delivered datasets for AI-powered diagnostic tools used in detecting early signs of cancer and other critical conditions

Labeled and segmented over 50,000 medical images (X-rays, MRIs, and CT scans) for disease detection and diagnosis. Annotated clinical text data for natural language processing (NLP) tasks, including extracting entities like symptoms, diagnoses, and medications. Ensured compliance with HIPAA and other data protection regulations while maintaining over 98% annotation accuracy. Delivered datasets for AI-powered diagnostic tools used in detecting early signs of cancer and other critical conditions

2024 - 2024

Autonomous Vehicle Image and Video Annotation

LabelboxImage

Annotated over 120,000 images and video frames for autonomous vehicle systems. Tasks included drawing precise bounding boxes for vehicles, pedestrians, and road signs, and performing pixel-level segmentation for lane detection. Delivered annotations with 99.5% accuracy, adhering to strict quality standards and tight deadlines. Collaborated with machine learning engineers to optimize labeling processes and refine dataset requirements for improved model training.

Annotated over 120,000 images and video frames for autonomous vehicle systems. Tasks included drawing precise bounding boxes for vehicles, pedestrians, and road signs, and performing pixel-level segmentation for lane detection. Delivered annotations with 99.5% accuracy, adhering to strict quality standards and tight deadlines. Collaborated with machine learning engineers to optimize labeling processes and refine dataset requirements for improved model training.

2023 - 2023

Education

Work History