卡卡卡kakaka

Key Skills

Software

Other

Top Subject Matter

Pet food evaluation (AI mini program)

AI medical statistics analysis platform

Legal Services & Contract Review

Top Data Types

Text

Video

Document

Top Task Types

Diagnosis

Question Answering

Point/Key Point

Data Collection

Classification

Freelancer Overview

Interdisciplinary professional with hands-on experience in AI application development, model evaluation, and dataset structuring. Proven track record in designing domain-specific evaluation criteria and validating LLM outputs through projects like StrongFood(Pet Food AI) and Dr. Magpie (AI Medical Statistics). Expert in leveraging advanced AI toolchains (Gemini, GLM, Cursor, Trae) and semantic search workflows using vector matching. Equipped with a strong academic background (M.S. from Huazhong Agricultural University) and professional auditing experience, bringing exceptional attention to detail to data labeling and quality control. Adept at standardizing methodologies, processing complex scientific data, and bridging the gap between domain expertise and AI model alignment.

Labeling Experience

StrongFood – Pet Food AI Evaluation Mini Program (AI evaluation support)

OtherText

Worked on the evaluation of AI-powered pet food within an AI mini program, supporting assessment workflows and model usability checks. Focused on ensuring outputs were suitable for downstream product use and quality evaluation. Collaborated with the team to refine the mini program based on testing and iteration cycles. • AI evaluation mini program participation • Assessment workflow support for pet food domain • Testing and iterative improvements for AI features • Coordination with product and development stakeholders

2024 - 2026

Dr. Magpie – AI Medical Statistics Platform (Beta)

Diagnosis

Contributed to an AI medical statistics analysis platform, supporting preparation and validation of analytical outputs for medical use. Helped ensure the platform’s results align with expected statistical and reporting formats. Assisted with beta-stage development by participating in evaluation and integration activities. • Support for AI-driven medical statistical analysis • Validation of platform analytical outputs • Beta-stage testing and integration support • Alignment of results with medical/statistical expectations

2024 - 2024

Education

Work History