Tai L.

Key Skills

Software

No software listed

Top Subject Matter

AI-assisted coding evaluation

structured technical content validation for a research/lab website

Web data extraction and structured-data preparation for operational review

Top Data Types

Text

Video

Top Task Types

Data Collection

Freelancer Overview

Researcher - Hankyong National University (AI-assisted development and technical QA). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Cursor, AWS, and Google Cloud. Education includes Bachelor of Chemical Engineering, Hankyong National University (2024) and Korean Language Program, Mokwon University (2023). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Researcher - Hankyong National University (AI-assisted development and technical QA)

Evaluated AI-assisted code and technical content for accuracy, consistency, and retrievability while implementing website and data-organization workflows. Performed quality control focused on correctness, edge cases, and reliable technical presentation for downstream use. Applied an evaluation mindset to validate tool-assisted outputs against required behavior and information structure. • Reviewed AI-assisted code for accuracy and consistency • Assessed retrievability/organization of technical content • Used AWS with Node.js/React workflows for structured data • Worked with scientific/engineering documentation requiring precision

2025 - Present

Developer - HiQ (automation workflows with structured-data handling)

TextData Collection

Collected structured information from dynamic web pages using browser automation and prepared it for downstream processing and operational review. Organized campaign update fields to improve the speed and repeatability of manual tasks. Supported reliability of structured data through workflow automation and validation-oriented handling. • Used Puppeteer to extract information from dynamic Kickstarter pages • Automated campaign update actions (quantity, price, type, reply email) • Maintained structured-data accuracy with Google Cloud/internal systems • Prepared data for downstream operational review

2020 - 2020

Software Engineer Intern - VNG (Zalo Team) (video output evaluation)

Video

Performed technical evaluation of video output quality across devices using a measurable quality metric and defined criteria. Contributed to backend implementation via a multithreaded C++ server and supported technical validation workflows. Focused on metrics-based review to strengthen reliability and correctness of outputs. • Evaluated video output quality using VMAF • Applied measurable quality criteria across devices • Contributed to backend validation workflows with C++ server • Used metrics-based review to improve output reliability

2019 - 2020

Education

Work History