For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
W
Waylon W.

Waylon W.

Frontend Development Intern with QA/testing and defect documentation relevant to code evaluation support

Malaysia flagKuala Lumpur, Malaysia

Key Skills

Software

Don't disclose
Other

Top Subject Matter

LLM response evaluation and code evaluation support for web applications (JavaScript/Vue, Spring Boot APIs)
LLM response evaluation
prompt evaluation

Top Data Types

TextText
ImageImage

Top Task Types

Computer Programming/CodingComputer Programming/Coding
Text GenerationText Generation
Data CollectionData Collection

Freelancer Overview

Frontend Development Intern with QA/testing and defect documentation relevant to code evaluation support. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Computer Science and Technology, SWUST (2024) and Master of Computer Science, UPM (2025). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Training & Evaluation (LLM response evaluation, prompt evaluation, response ranking, annotation and QA review)

OtherTextText

Engaged in bilingual AI training and evaluation tasks emphasizing prompt/response quality checking and instruction-following assessment. Conducted factuality checking and reasoning verification during LLM response evaluation and ranking. Completed data annotation and QA review aligned with detailed labeling guidelines for consistent outputs. • Evaluated prompt quality and adherence to instructions • Compared and ranked model responses for quality • Performed factuality and reasoning verification • Applied bilingual Chinese-English evaluation and quality review

2025 - Present

Frontend Development Intern with QA/testing and defect documentation relevant to code evaluation support

Don't disclose

Performed code and technical QA through systematic API testing and debugging, focusing on identifying inconsistencies, permission-flow issues, and implementation defects. Reviewed front-end logic and common JavaScript/Vue bug patterns to improve reliability of application behavior. Documented findings and provided issue descriptions to guide fixes and maintain quality standards. • Tested login/registration/search/data-display/permission flows • Recorded issues and suggested implementation improvements • Validated dashboard/data-flow results in a Spring Boot + Redis + MySQL environment • Inspected API calls, state handling, and routing behavior for defects

2023 - 2024

Education

S

SWUST

Bachelor of Computer Science and Technology, Computer Science and Technology

Bachelor of Computer Science and Technology
2020 - 2024
U

UPM

Master of Computer Science, Computer Science

Master of Computer Science
2025

Work History

T

Technology Company

Frontend Development Intern

Chengdu
2023 - 2024