李佳晉

Key Skills

Software

Don't disclose

Top Subject Matter

Insurance web applications / machine learning model optimization

Software QA for web solutions

Top Data Types

Computer Code Programming

Top Task Types

Classification

Freelancer Overview

AI Intern (Data labeling and classification tasks) at Inventech Solution. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Information Security, Tunku Abdul Rahman University of Management and Technology (TARUMT) (2024) and Diploma in Information Technology, Tunku Abdul Rahman University of Management and Technology (TARUMT) (2024). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Classification, Evaluation, and

Labeling Experience

AI Intern (Data labeling and classification tasks) at Inventech Solution

Don't discloseClassification

Conducted AI data labeling and classification tasks to support machine learning workflows for an insurance web application environment. Applied optimization techniques described as node- and pad-based machine learning approaches to improve model performance outcomes. Worked alongside technical stakeholders to translate labeled data into actionable inputs for downstream AI tasks. • Labeled/classified datasets for AI model training. • Performed quality-focused labeling and classification support. • Contributed to iterative improvements targeting better model accuracy. • Coordinated with developers on debugging, testing, and AI-related processing.

2026 - Present

IT support Intern at Meteorsoft Sdn Bhd (QA activities)

Don't disclose

Supported QA activities for software delivery while working in a role adjacent to AI/data tasks. Assisted with manual testing and quality checks that helped ensure system functionality and reliability during the internship period. While specific AI labeling was not detailed for this role, the work contributed to the quality pipeline needed for any AI-enabled components. • Performed manual testing and QA checks. • Assisted with issue identification and resolution workflows. • Helped validate application behavior for stability and reliability. • Supported quality assurance processes during development cycles.

2023 - 2024

Education

Work History