Applied Statistics undergraduate at Anhui University, studying from 2023 to 2027 and targeting AI Engineer, Data Engineer, and Data Analyst roles.
AI Engineer · Data Engineer · Data Analyst
Anhui University · B.S. in Applied Statistics · 2023–2027 (Expected)
Applied Statistics undergraduate building enterprise AI agents, cloud data systems, and research platforms.
Currently a Data Development Intern at Volkswagen (China) Technology Co., Ltd., developing WingCore, deploying a cloud budget-controlling database, and supporting internal AI initiatives across VCTC-Y Powerhouse.

Preferred city
Hefei
About
From applied statistics to enterprise AI engineering
Currently a Data Development Intern at Volkswagen (China) Technology Co., Ltd., developing internal AI agents and cloud data systems for VCTC-Y Powerhouse.
Experience spans enterprise AI engineering, medical data engineering, Chinese Academy of Sciences research data workflows, and iFLYTEK large-model data support.
Completed summer research at the National University of Singapore involving local model deployment, visual question answering, and model-output evaluation.
English can be used as a working language; English proficiency meets CEFR C1, with IELTS overall 7.0 (Listening 8.5, Reading 6.5, Writing 6.0, Speaking 6.0).
Professional Experience
Enterprise AI engineering, cloud data systems, and research data practice
Centered on internal AI agent and data-system development at Volkswagen, with additional research-data and large-model workflow experience.
May 2026 - Present
Featured experience
Data Development Intern
Volkswagen (China) Technology Co., Ltd.
- Designed and developed WingCore, an internal desktop AI agent platform with a Rust business core and Electron shell; integrated a company-hosted local model with MCP, Dify, automation, browser, and document tooling for use across VCTC-Y Powerhouse.
- Designed and deployed the cloud database for the VCTC-Y Budget Controlling System using PostgreSQL 17 and SQL; implemented versioned budget, forecast, and actual data, row-level departmental access control, controlled APIs, auditing, and backup/recovery.
- Provided full-lifecycle technical support for internal AI initiatives across VCTC-Y Powerhouse, from requirements analysis and solution design through development, integration, deployment, and user enablement.
Oct 2025 - Apr 2026
Research Assistant
Institute of Information Engineering, Chinese Academy of Sciences
- Supported end-to-end research data workflows, including data acquisition, cleaning, desensitization, structuring, quality control, and version management.
- Contributed to local deployment and Chinese localization of Label Studio for secure in-house data annotation and AI research workflows.
Jul 2024 - Aug 2024
Data Analysis Intern
iFlytek Co., Ltd.
- Supported large-model workflows through data analysis, selection, cleaning, reuse, and procurement-data organization.
Dec 2023 - Feb 2024
Data Processing Intern
iFlytek Co., Ltd.
- Cleaned large-model-generated data and maintained procurement information to prepare reusable inputs for analysis and model development.
Research & Technical Projects
Data engineering, AI platforms, and visual question answering research
Data Engineer
Million-Scale Medical Database End-to-End Construction
Dec 2025 - Present
- Built an end-to-end medical database for precision-medicine research, covering collection, cleaning, desensitization, structuring, version control, and quality assurance.
- Integrated over one million heterogeneous medical records and designed standardized field-mapping and quality-control rules.
- Introduced automated validation and missing-value handling, achieving 96%+ completeness and 94%+ annotation consistency for downstream clinical analysis and AI model training.
Platform Lead
Label Studio Private Deployment and Chinese Localization
Oct 2025 - Present
- Led Docker-based private deployment and full-stack Chinese localization of Label Studio in an internal research environment, achieving over 98% localization coverage while keeping data within the secure domain.
- Completed functional and cross-browser testing and resolved timezone, encoding, and font-rendering issues.
- Documented deployment and annotation workflows and established a manual plus multi-model pre-annotation process.
Researcher, National University of Singapore
Summer Research Program
Summer 2025
- Deployed Flamingo-3B, Flamingo-9B, Qwen-13B, and ChatGPT-Mini locally for visual question answering tasks.
- Developed scripts for multidimensional VQA output evaluation and contributed to the resulting team paper.
Research publication · ICCGV 2026
VizAdapt: Novel Dataset Development with a Voice-Interactive Visual Question Answering System for Blind and Low Vision Individuals
Liting Chen, Pingting Lin, Weiwei Li, Jianfei Xu, Zhihao Yan
SPIE · Proceedings Volume 14315 · 143150G ·
VizAdapt presents a novel dataset and a Qwen2.5-Omni-3B-based voice-interactive visual question answering system for blind and low vision individuals, including guidance to retake blurry images for clearer visual input.
Contribution
Co-first author; all authors contributed equally.
Research points
- Develops the novel VizAdapt dataset for blind and low vision users.
- Uses Qwen2.5-Omni-3B for voice-interactive visual question answering.
- Detects blurry images and guides blind and low vision users to retake them for clearer visual input.
Education
Applied statistics and analysis foundation
Anhui University
B.S. in Applied Statistics
2023 - 2027
Relevant coursework
- Achieved strong performance in Java Programming, Data Structures, and mathematics-related courses.
- Completed university-partnered AI and data science programs covering machine learning, data mining, and deep learning applications.
- Participated in a summer research program at the National University of Singapore.
Skills
Skill set for data analysis and data development
AI Agent Engineering
Databases & Backend
Programming & Data Processing
Statistics & Analysis
Research Platforms
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