Aiden W.

Key Skills

Software

No software listed

Top Subject Matter

Artificial Intelligence – Model Training & Evaluation

Computer Vision – Image Classification & Model Assessment

AI Safety & Security – Trustworthy AI and Privacy-Preserving AI

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Segmentation

Classification

Text Generation

Question Answering

Text Summarization

Object Detection

Red Teaming

Computer Programming/Coding

Data Collection

Entity (NER) Classification

Point/Key Point

Fine-tuning

Function Calling

Freelancer Overview

Ph.D. candidate in Artificial Intelligence at Southeast University and Visiting Ph.D. Student at The University of Queensland, with research experience in trustworthy AI, AI safety, privacy, security, and TEE-based secure AI systems. My work focuses on adversarial machine learning, vision-language model security, privacy-preserving AI, tracing forensics, and secure AI system design. I have published research in top security and dependable computing venues, including IEEE Symposium on Security and Privacy and IEEE Transactions on Dependable and Secure Computing. I also have hands-on experience in software review, experimental validation, model evaluation, data analysis, and quality-focused research workflows, which enables me to contribute to AI training, data annotation, model assessment, and safety-related evaluation tasks.

Labeling Experience

AI Model Training and Evaluation Research

ImageComputer Programming/Coding

As a Ph.D. candidate in Artificial Intelligence, I have been continuously involved in AI model training, evaluation, and experimental validation for research projects in computer vision, trustworthy AI, adversarial machine learning, privacy-preserving AI, and secure AI systems. My work includes training and fine-tuning deep learning models, preparing and inspecting image datasets, analyzing model predictions, evaluating classification results, checking failure cases, and validating robustness under different experimental settings. I have worked with computer vision models, vision-language models, and security-oriented AI systems, with a focus on model behavior analysis, data quality control, and reliable experimental evaluation. This experience is closely related to AI training data quality assessment, image classification review, model output evaluation, annotation consistency checking, and safety-focused AI evaluation.

2020 - Present

AI Model Training and Software Review Intern

ImageFine-tuning

During my internship at VIVO Image Laboratory, I participated in software review and AI-related model training workflows for image-related applications. My work involved reviewing image processing workflows, assisting with model training and evaluation, checking model outputs, analyzing experimental results, and supporting quality-focused validation. This experience strengthened my ability to inspect image data, evaluate model behavior, identify abnormal cases, and ensure consistency and reliability in AI-related workflows. It also provided practical industry experience in computer vision, software quality review, and model performance assessment.

2021 - 2021

Education

Work History