Key Skills

Freelancer Overview

My Internship project focused on computer vision and model training. I engineered a TensorFlow-based object detection pipeline to process large-scale road imagery, achieving 95% detection accuracy across more than 10,000 annotated frames. I also leveraged data augmentation techniques in Python to improve model robustness by 10% and automated the image annotation and preprocessing workflow, cutting data preparation time by 40%. This hands-on experience strengthened my expertise in AI training data, annotation quality, and data pipeline automation. I developed a deep understanding of how accurate labeling and preprocessing directly influence model performance and scalability - skills I’m eager to apply to real-world AI training and data curation projects.

Labeling Experience

Education

Work History