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Y
Yingzhe Z.

Yingzhe Z.

AI Evaluation & Technical Annotator – Engineering, Code & STEM | Bilingual EN/ZH

Australia flagSydney, Australia

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Engineering & Electronics – Power Systems, Embedded & Control
Software & Code – Programming, Code Review & Technical QA
STEM & Education – Mathematics, Physics & Technical Content

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming
DocumentDocument

Top Task Types

Text GenerationText Generation
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection
TranscriptionTranscription
Question AnsweringQuestion Answering

Freelancer Overview

Electrical Engineering Master's candidate at UNSW Sydney with a strong quantitative and programming foundation (Python, MATLAB). I have hands-on experience using LLM developer tools (Claude Code, DeepSeek API) in real software projects, which has made me familiar with model behavior and limitations. I can write precise instructions, evaluate output quality, and identify reasoning and factual errors — for example, I once identified and corrected an incorrect formula produced by an AI assistant. I also have structured data-collection and source-validation experience, and can annotate and grade tasks across electrical engineering, control systems, embedded/IoT, Python programming, and STEM mathematics. Bilingual in Mandarin and English, detail-oriented, and able to work independently.

Labeling Experience

Government Policy Document Data Collection & Validation

TextTextData CollectionData Collection

Designed a structured data-collection workflow for a government policy-tracking system. Defined strict source-inclusion rules (e.g., only official government sources) and manually validated each record for quality and accuracy, ensuring a clean and reliable dataset.

2026 - Present

LLM-Assisted Development & Output Quality Evaluation

Computer Code ProgrammingComputer Code ProgrammingEvaluation/RatingEvaluation/Rating

Used Claude Code and the DeepSeek API across multiple software projects to evaluate model outputs, identify and correct errors, and write and iterate on prompts to guide model behavior. Reviewed AI-generated technical content for correctness — including identifying and correcting an incorrect formula produced by an AI assistant. Developed practical familiarity with model strengths, limitations, and common failure modes.

2026 - 2026

Education

U

UNSW Sydney

Master of Engineering, Electrical Engineering

Master of Engineering
2024 - 2026
N

Nanchang University

Bachelor of Engineering, Automation

Bachelor of Engineering
2019 - 2023

Work History

T

T1 Constructions Pty Ltd Country: Australia

Electrical Technician (Trainee)

Sydney
2025 - 2026
C

China United Network Communications Group (China Unicom)

Project Management Intern

Xian
2022 - 2022