Ian Mugo

Key Skills

Software

CVAT

Labelbox

Prodigy

Supervisely

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Point Key Point

Entity Ner Classification

Segmentation

Text Summarization

Freelancer Overview

I am a detail-oriented and results-driven professional with extensive experience in digital content creation, data collection, and project management across diverse industries, including healthcare, real estate, education, and e-commerce. My background in creative design and digital marketing has equipped me with strong analytical skills for managing, curating, and optimizing large datasets, as well as hands-on experience with data collection campaigns, market intelligence, and online content curation. I am proficient in tools such as Adobe Creative Suite, PyCharm, and Visual Studio Code, and have worked on projects involving website management, SEO, and social media analytics. My ability to plan, execute, and monitor data-driven campaigns, combined with my adaptability and commitment to quality, enables me to contribute effectively to data labeling and AI training data projects, ensuring accuracy and relevance for machine learning applications.

Labeling Experience

NLP Data Annotation Analyst

ProdigyTextEntity Ner ClassificationSegmentation

NLP Data Annotation Analyst Conversational AI Labs | Labeled and annotated large-scale text datasets for chatbot and sentiment analysis models. Performed Named Entity Recognition (NER), intent classification, sentiment tagging, and text categorization. Worked with tools such as Prodigy, Label Studio, Amazon SageMaker Ground Truth, and Doccano. Annotated multilingual datasets (English + regional dialect variations). Improved NLP model precision by enhancing annotation taxonomy frameworks. Data Types: Text, Chat Logs, Emails, Customer Support Transcripts Industries: FinTech, E-commerce, Customer Support Automation

NLP Data Annotation Analyst Conversational AI Labs | Labeled and annotated large-scale text datasets for chatbot and sentiment analysis models. Performed Named Entity Recognition (NER), intent classification, sentiment tagging, and text categorization. Worked with tools such as Prodigy, Label Studio, Amazon SageMaker Ground Truth, and Doccano. Annotated multilingual datasets (English + regional dialect variations). Improved NLP model precision by enhancing annotation taxonomy frameworks. Data Types: Text, Chat Logs, Emails, Customer Support Transcripts Industries: FinTech, E-commerce, Customer Support Automation

2025

AI Vision Technologies

LabelboxImagePoint Key Point

AI Vision Technologies | Led large-scale image, video, and LiDAR annotation projects for autonomous vehicle and surveillance AI systems. Performed bounding box, polygon, semantic segmentation, keypoint, and 3D cuboid annotations. Utilized tools including Labelbox, CVAT, Supervisely, V7 Darwin, and Scale AI platform. Annotated over 1.2 million objects across multi-class datasets with 99% QA accuracy. Conducted quality assurance audits and reviewer calibration sessions to maintain labeling consistency. Collaborated with ML engineers to refine annotation guidelines and improve model performance by 17%. Data Types: Images, Video, LiDAR point clouds Industries: Autonomous Vehicles, Smart Surveillance, Robotics

AI Vision Technologies | Led large-scale image, video, and LiDAR annotation projects for autonomous vehicle and surveillance AI systems. Performed bounding box, polygon, semantic segmentation, keypoint, and 3D cuboid annotations. Utilized tools including Labelbox, CVAT, Supervisely, V7 Darwin, and Scale AI platform. Annotated over 1.2 million objects across multi-class datasets with 99% QA accuracy. Conducted quality assurance audits and reviewer calibration sessions to maintain labeling consistency. Collaborated with ML engineers to refine annotation guidelines and improve model performance by 17%. Data Types: Images, Video, LiDAR point clouds Industries: Autonomous Vehicles, Smart Surveillance, Robotics

2024 - 2025

Education

Work History