Bowen T.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Quality validation for large-scale web products

LLM extraction with human review (job application domain)

Top Data Types

Text

Video

Top Task Types

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

Alibaba Cloud — Full-Stack Engineer (distributed inspection platform). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Master of Computer Science, Lakehead University (2025) and Bachelor of Artificial Intelligence, Central South University (2020). AI-training focus includes data types such as Text and labeling workflows including Data Collection and Prompt + Response Writing (SFT).

Labeling Experience

Interview Tracker (Independent Project) — Full-Stack Engineer

OtherTextPrompt + Response Writing (SFT)

Built an LLM-assisted extraction pipeline that uses rule-based filtering and human review to identify structured job signals such as status, company, and role. This effectively creates curated labeled text fields from unstructured inputs for AI-assisted workflow features. • Extracted structured job signals from text sources • Applied rule-based filtering prior to human review • Included human-in-the-loop labeling for quality • Delivered alerts tied to high-priority extracted events

2025 - Present

Alibaba Cloud — Full-Stack Engineer (distributed inspection platform)

Don't discloseTextData Collection

Engineered an inspection workflow that validated UI, API, and performance across many products by dispatching tasks asynchronously and applying retry/backoff strategies. The work supported systematic collection and verification of structured signals needed for downstream quality/AI readiness. • Validated UI/API outputs for multiple products and pages • Implemented sharding and asynchronous dispatch to scale data collection/verification • Added retry/backoff and rate limiting for robust ingestion/processing • Scaled worker throughput to improve coverage and reduce runtime

2022 - 2023

Education

Work History