Key Skills

Software

Google Cloud Vertex AI

OpenCV AI Kit (OAK)

Top Subject Matter

"Object Detection for LiDar Mobile Mapping"

"Moments for Image Processing"

"Hemorrhage localization in OCT images"

Top Data Types

3D Sensor

Computer Code Programming

Medical Dicom

Top Task Types

Computer Programming Coding

Segmentation

Translation Localization

Freelancer Overview

I am an accomplished data labeling and AI training data specialist with extensive experience in both academic and practical applications. Currently pursuing a Bachelor of Computer Engineering at Sirindhorn International Institute of Technology, I have maintained a strong academic record while receiving a 25% continuing scholarship. My practical experience includes roles as a research assistant and an AI filter publisher on METAverse, where I have demonstrated proficiency in object detection, image processing, and the development of AI filters with significant user engagement. In my role as a research assistant, I have contributed to projects focused on object detection and classification using LiDAR for mobile mapping, as well as the localization of hemorrhages in OCT images. My skills in Python, MATLAB, and machine learning techniques have been pivotal in enhancing image recognition accuracy. Furthermore, my experience as a GED instructor has honed my ability to communicate complex concepts effectively. My technical expertise is complemented by my proficiency in multiple programming languages and my active involvement in volunteer and leadership activities, making me a well-rounded and skilled professional in the field of AI training data.

Labeling Experience

Automatic Hemorrhage Localization in OCT Images

Opencv AI Kit OakMedical DicomSegmentationObject Detection

In this project, I developed programs to localize hemorrhages in OCT images. By studying the characteristics of hemorrhages in these images, I created algorithms to accurately identify and annotate hemorrhage regions. This work required detailed image analysis and a deep understanding of medical imaging data​.

In this project, I developed programs to localize hemorrhages in OCT images. By studying the characteristics of hemorrhages in these images, I created algorithms to accurately identify and annotate hemorrhage regions. This work required detailed image analysis and a deep understanding of medical imaging data​.

2024

Moments for Image Processing Research Assistant Internship

Opencv AI Kit OakComputer Code ProgrammingObject DetectionDiagnosis

As a research assistant intern, I focused on developing algorithms for enhancing, segmenting, and classifying digital images. My primary tools were Python, MATLAB, and advanced machine learning techniques. This project aimed to improve image recognition accuracy, providing hands-on experience in data annotation and the application of various image processing techniques​

As a research assistant intern, I focused on developing algorithms for enhancing, segmenting, and classifying digital images. My primary tools were Python, MATLAB, and advanced machine learning techniques. This project aimed to improve image recognition accuracy, providing hands-on experience in data annotation and the application of various image processing techniques​

2024

Object Detection and Classification Using LiDAR for Mobile Mapping

Opencv AI Kit Oak3D SensorObject DetectionAction Recognition

In this project, I used a dataset for object detection and classification using LiDAR technology. The work involved several stages, including testing, preprocessing, modeling, training, and validation. By leveraging my skills in Python and machine learning, I contributed to the accurate identification and categorization of objects in mobile mapping applications​

In this project, I used a dataset for object detection and classification using LiDAR technology. The work involved several stages, including testing, preprocessing, modeling, training, and validation. By leveraging my skills in Python and machine learning, I contributed to the accurate identification and categorization of objects in mobile mapping applications​

2024

Education

Work History