Erming Pei

Key Skills

Software

Google Cloud Vertex AI

Labelbox

Top Subject Matter

LLM tuning/evaluation in English/Chinese

Herbal medicine image classification; Acupuncture point detection labeling; NLP for translating TCM texts

Cosmetic image classification; Skincare product recommendation

Autonomous vehicle object detection

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Computer Programming Coding

Fine Tuning

Prompt Response Writing SFT

Translation Localization

Freelancer Overview

With good experience in AI training data and data labeling, I have contributed to cutting-edge projects across diverse domains. My expertise includes fine-tuning and evaluating LLMs in both English and Chinese, where I’ve honed skills in multilingual text annotation, translation quality assessment, and contextual response evaluation. This linguistic proficiency is complemented by hands-on involvement in autonomous vehicle object detection, where I’ve labeled complex visual datasets critical for enhancing AI-driven navigation systems. Additionally, I bring a deep understanding of traditional Chinese medicine (TCM), having worked on projects like herbal medicine image classification and acupuncture point detection labeling. My ability to bridge the gap between traditional practices and modern AI technologies, such as NLP for translating TCM texts, highlights my unique skill set. These experiences, combined with a meticulous attention to detail and proficiency with various data labeling tools, set me apart as a versatile and innovative contributor to AI and data science initiatives.

Labeling Experience

NLP Data Annotation for TCM Texts

LabelboxTextText SummarizationTranslation Localization

Traditional Chinese Medicine Project Description: Annotated traditional Chinese medicine texts for translation and contextual understanding. Tasks included labeling phrases and sentences to enhance machine translation systems. Quality measures involved cross-lingual validation and ensuring accurate translation.

Traditional Chinese Medicine Project Description: Annotated traditional Chinese medicine texts for translation and contextual understanding. Tasks included labeling phrases and sentences to enhance machine translation systems. Quality measures involved cross-lingual validation and ensuring accurate translation.

2024 - 2024

Acupuncture Point Detection

LabelboxImagePoint Key PointClassification

Annotated anatomical images with acupuncture point locations. Tasks involved identifying and labeling key points on images to develop models for precise acupuncture point detection. Quality control included validation of point placements and consistency checks.

Annotated anatomical images with acupuncture point locations. Tasks involved identifying and labeling key points on images to develop models for precise acupuncture point detection. Quality control included validation of point placements and consistency checks.

2023 - 2023

Herbal Medicine Image Classification

LabelboxImage

Labeled images of various herbal medicines for automated identification and classification. Tasks included tagging images with relevant herb names and ensuring accuracy in labeling to support model training for TCM applications. Quality measures involved verifying label consistency and accuracy.

Labeled images of various herbal medicines for automated identification and classification. Tasks included tagging images with relevant herb names and ensuring accuracy in labeling to support model training for TCM applications. Quality measures involved verifying label consistency and accuracy.

2023 - 2023

Text Categorization for LLMs

LabelboxTextEntity Ner ClassificationClassification

Categorized text data for sentiment analysis, intent recognition, and named entity recognition in English and Chinese. Performed annotation tasks to fine-tune and evaluate LLMs. Quality measures included ensuring accurate and contextually appropriate labels.

Categorized text data for sentiment analysis, intent recognition, and named entity recognition in English and Chinese. Performed annotation tasks to fine-tune and evaluate LLMs. Quality measures included ensuring accurate and contextually appropriate labels.

2023 - 2023

Image Annotation for Autonomous Vehicles

LabelboxImageBounding BoxSegmentation

Annotated images for object detection tasks in autonomous driving systems. Labeled images included bounding boxes and segmentation masks for vehicles, pedestrians, and road signs to ensure accurate training of object detection models. Quality measures included cross-checking annotations and ensuring consistency across data.

Annotated images for object detection tasks in autonomous driving systems. Labeled images included bounding boxes and segmentation masks for vehicles, pedestrians, and road signs to ensure accurate training of object detection models. Quality measures included cross-checking annotations and ensuring consistency across data.

2022 - 2022

Education

Work History