EMMANUEL OGAGA

Key Skills

Software

Clickworker

Top Subject Matter

No subject matter listed

Top Data Types

Video

Top Label Types

Bounding Box

Segmentation

Classification

Question Answering

Text Generation

Freelancer Overview

I am an experienced software engineer with a strong background in supporting AI and machine learning initiatives through high-quality data labeling, annotation, and validation. My work has involved close collaboration with data scientists to prepare and curate training datasets, including both text and image annotation, while following rigorous quality assurance standards. I have hands-on experience using Python, SQL, and cloud-based tools to streamline annotation workflows, and I am skilled in dataset validation and sentiment analysis for NLP projects. My experience spans backend and full-stack development, enabling me to understand the technical requirements of scalable AI data pipelines and integrate them seamlessly into production systems. I am passionate about leveraging my expertise to ensure accurate, reliable, and impactful AI training data.

Labeling Experience

Data Labeler

ClickworkerVideoBounding BoxSegmentation

This project involved end to end execution of large-scale data labelling and nnotation activities to support the training, validation, and performance optimizationof machine learning and generative AI Models. Specific Data Labelling Tasks Image and Video Segmentation- Polygon, bounding box and mask annotation for people, vehicles, infrastructure and natural objects data Classification- image and text classification using multi-label and single-labelschemas, sentiment,intent and content safety classification I annoted 2,000+ data units across images,videos and text datasets and maintained a data accuracy of 98% quality rating.

This project involved end to end execution of large-scale data labelling and nnotation activities to support the training, validation, and performance optimizationof machine learning and generative AI Models. Specific Data Labelling Tasks Image and Video Segmentation- Polygon, bounding box and mask annotation for people, vehicles, infrastructure and natural objects data Classification- image and text classification using multi-label and single-labelschemas, sentiment,intent and content safety classification I annoted 2,000+ data units across images,videos and text datasets and maintained a data accuracy of 98% quality rating.

2022

Education

Work History