Key Skills

Software

Appen

CrowdSource

Data Annotation Tech

Google Cloud Vertex AI

Labelbox

Label Studio

Scale AI

V7 Labs

Don't disclose

Top Subject Matter

Medical imaging annotation

Sports Analytics Video Annotation

Social Media Content Analysis

Top Data Types

Image

Medical Dicom

Video

Top Task Types

Action Recognition

Object Detection

Red Teaming

Segmentation

Translation Localization

Freelancer Overview

Expert image and video annotator with over 5 years of experience in various projects, specializing in data labelling for machine learning models. My diversity in industries and experience helps me deliver high-quality annotations for computer vision tasks, contributing to the development of cutting-edge technologies in diverse industries. I have also lived in different countries and have contextual experience that is relevant to understand and localizing AI.

Labeling Experience

Self-driving Car imagery annotation

AppenImageClassification

I worked on annotating images and videos from self-driving cars to help improve their AI systems. My tasks included labeling objects like pedestrians and vehicles, marking lane boundaries, and categorizing different parts of the road scene. I worked with a team of 50 people to process a huge dataset over six months. We followed strict guidelines and used multiple quality checks to ensure our work was 95% accurate. Regular training and feedback sessions helped us maintain high standards and align with client expectations.

I worked on annotating images and videos from self-driving cars to help improve their AI systems. My tasks included labeling objects like pedestrians and vehicles, marking lane boundaries, and categorizing different parts of the road scene. I worked with a team of 50 people to process a huge dataset over six months. We followed strict guidelines and used multiple quality checks to ensure our work was 95% accurate. Regular training and feedback sessions helped us maintain high standards and align with client expectations.

2023 - 2024

Heartbeat Signal Labelling for Arrhythmia Detection

Don T DiscloseMedical DicomPoint Key Point

I worked on annotating ECG signals to help develop AI models for detecting heart conditions like arrhythmias. My tasks included marking each heartbeat using time markers, identifying abnormal heartbeats through classification labels, segmenting waveform components (P wave, QRS complex, T wave) with precise time interval labels, and assessing signal quality by labelling noisy or unusable segments. I was part of a team of 25 annotators with medical expertise, and we completed the project over five months. We followed strict guidelines and conducted multiple quality checks to ensure 97% accuracy. Regular training and feedback sessions helped us maintain high standards and align with client expectations.

I worked on annotating ECG signals to help develop AI models for detecting heart conditions like arrhythmias. My tasks included marking each heartbeat using time markers, identifying abnormal heartbeats through classification labels, segmenting waveform components (P wave, QRS complex, T wave) with precise time interval labels, and assessing signal quality by labelling noisy or unusable segments. I was part of a team of 25 annotators with medical expertise, and we completed the project over five months. We followed strict guidelines and conducted multiple quality checks to ensure 97% accuracy. Regular training and feedback sessions helped us maintain high standards and align with client expectations.

2023 - 2023

LLM Text Summarization and Prompt Generation

AppenTextQuestion AnsweringText Generation

I worked on developing text summarizations and prompt generations to improve large language models (LLMs). My tasks included reading long documents and creating concise summaries that captured the main ideas, as well as generating diverse prompts to guide the LLMs in producing meaningful responses.

I worked on developing text summarizations and prompt generations to improve large language models (LLMs). My tasks included reading long documents and creating concise summaries that captured the main ideas, as well as generating diverse prompts to guide the LLMs in producing meaningful responses.

2022 - 2022

Education

Work History