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Y

Yarong Zhang

Research Assistant – Intelligent Signal Processing Lab

CANADA flag
Windsor, Canada
Intermediate

Key Skills

Software

No software listed

Top Subject Matter

Speech Processing
Deep Learning
Accent Conversion

Top Data Types

AudioAudio
TextText

Top Task Types

Classification
Question Answering

Freelancer Overview

AI Code Evaluation & Review System. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Applied Computing, University of Windsor (2025) and Bachelor of Science, Hainan University (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Intermediate

Labeling Experience

Software Developer & AI Evaluation Assistant

Reviewed and analyzed AI-generated code for correctness, performance, and readability in freelance and academic project settings. Provided structured feedback and identified best-practice deviations for AI model enhancement. Designed structured prompts and scenarios to evaluate coding, reasoning, and debugging abilities in AI systems. • Evaluated AI code solutions for logic, efficiency, and edge case handling. • Developed prompt strategies to test model behavior and solution accuracy. • Delivered actionable feedback to address identified issues in AI-generated code. • Applied quality assessment criteria to ensure high-standard model output.

Reviewed and analyzed AI-generated code for correctness, performance, and readability in freelance and academic project settings. Provided structured feedback and identified best-practice deviations for AI model enhancement. Designed structured prompts and scenarios to evaluate coding, reasoning, and debugging abilities in AI systems. • Evaluated AI code solutions for logic, efficiency, and edge case handling. • Developed prompt strategies to test model behavior and solution accuracy. • Delivered actionable feedback to address identified issues in AI-generated code. • Applied quality assessment criteria to ensure high-standard model output.

2025 - Present

AI Code Evaluation & Review System

Evaluated AI-generated computer code across diverse programming tasks for correctness, logic, and efficiency. Provided structured feedback to enhance model understanding and identify failure cases. Designed detailed test cases to assess model behavior, improve accuracy, and simulate real-world review standards. • Conducted systematic reviews of AI-generated Python and JavaScript code for logical errors and edge case failures. • Structured evaluation criteria to ensure consistency and reliability in code assessment outcomes. • Created comprehensive test cases, including edge conditions and performance scenarios. • Delivered targeted feedback to inform AI model improvements and code quality.

Evaluated AI-generated computer code across diverse programming tasks for correctness, logic, and efficiency. Provided structured feedback to enhance model understanding and identify failure cases. Designed detailed test cases to assess model behavior, improve accuracy, and simulate real-world review standards. • Conducted systematic reviews of AI-generated Python and JavaScript code for logical errors and edge case failures. • Structured evaluation criteria to ensure consistency and reliability in code assessment outcomes. • Created comprehensive test cases, including edge conditions and performance scenarios. • Delivered targeted feedback to inform AI model improvements and code quality.

2025 - 2025

Education

H

Hainan University

Bachelor of Science, Software Engineering

Bachelor of Science
2021 - 2025
U

University of Windsor

Master of Applied Computing, Applied Computing

Master of Applied Computing
2025

Work History

F

Freelance

Software Developer

Windsor, Ontario
2025 - Present
I

Independent Practice

Technical Problem Solver & Code Reviewer

N/A
2024 - 2024