Key Skills

Software

AWS SageMaker

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Video

Top Label Types

Action Recognition

Classification

Computer Programming Coding

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Question Answering

Text Generation

Text Summarization

Freelancer Overview

I am a highly motivated Machine Learning Associate with around 2 years of hands-on experience in data labeling, annotation, and AI training data workflows. My background includes extensive work with both structured and unstructured data—images, text, audio, and video—where I have performed tasks such as bounding box annotation, segmentation, classification, and transcription with a strong focus on accuracy and adherence to quality guidelines. I am skilled in using tools like AWS SageMaker Ground Truth, Appen, and Jupyter Notebook, and I have collaborated closely with data scientists and AI engineers to ensure dataset quality and improve model performance. My expertise spans NLP, generative AI, and computer vision, with successful contributions to projects in sentiment analysis, chatbot development, and fraud detection. I thrive in fast-paced environments, consistently meeting deadlines while maintaining high standards for data integrity and operational flexibility.

Labeling Experience

Education

Work History