Key Skills

Software

Google Cloud Vertex AI

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Data Collection

Freelancer Overview

I have extensive experience in AI training data and data labeling, having worked on projects involving structured and unstructured data annotation for machine learning models. At EPAM, I developed a document intelligence framework for automated table detection and structure extraction in invoices, leveraging YOLOv6 for object detection and Table Transformer (LayoutLM-based model) to achieve 86% mAP in structure recognition. Additionally, I built a neural network model using Hugging Face for paragraph segmentation in invoices, effectively grouping text blocks across diverse document formats. Beyond traditional labeling, I have hands-on expertise in optimizing AI training data pipelines, ensuring high-quality annotations, and leveraging automation to improve labeling efficiency. My experience spans data preprocessing, augmentation techniques, and integrating labeled datasets into machine learning workflows. This, combined with my deep understanding of predictive modeling and NLP, allows me to design robust data strategies that enhance model accuracy and reliability.

Labeling Experience

Education

Work History