Kahlen Hernani

Key Skills

Software

No software listed

Top Subject Matter

E-commerce

Healthcare

Top Data Types

Text

Image

Document

Top Task Types

Entity (NER) Classification

Bounding Box

Data Collection

Freelancer Overview

My experience with data labeling and AI training data comes through both research and technical projects where clean, accurate datasets were essential to model performance. As a research assistant at the University of Central Florida, I have helped collect, organize, and analyze participant data, ensuring information was structured, reliable, and ready for deeper analysis. This experience taught me the importance of consistency, attention to detail, and maintaining data quality throughout the pipeline. In my technical projects, I have also worked with computer vision tools such as OpenCV, MediaPipe, and PyTorch, where labeled visual data is critical for recognition, tracking, and machine learning tasks. What sets me apart is my combination of technical and analytical skills. I understand not only how to label and validate data accurately, but also how that data directly impacts downstream AI systems. My background in Python, statistics, and machine learning allows me to think beyond simple annotation and focus on dataset quality, edge cases, and model outcomes. With experience in both hands-on data preparation and building AI-driven applications, I can contribute effectively to training data workflows while keeping the larger machine learning objective in mind.

Labeling Experience

Education

Work History