Internship

FWD Group
2025.11 - 2026.4
A pan-Asian life insurance company committed to changing the way people feel about insurance.
Data Scientist Intern
  • AI Development & Testing: Responsible for the development and quality assurance of AI-powered solutions for insurance business applications
  • Model Development: Building and optimizing machine learning models for customer analytics and risk assessment
  • Data Pipeline: Designing and maintaining data processing pipelines for large-scale insurance datasets
  • Cross-functional Collaboration: Working closely with product and engineering teams to deploy AI solutions into production
Python Machine Learning Deep Learning Data Analytics
Guangdong Zhongshi Information Technology Co., Ltd.
04/2024 - 08/2024
A leading ETC equipment and intelligent transportation technology provider in China.
AI Product Manager Intern
  • Product Strategy: Led the planning and roadmap development for AI-powered products in the intelligent transportation domain
  • Knowledge Base Development: Designed and established industry-specific knowledge bases to support LLM applications
  • LLM Deployment: Coordinated the localized deployment of large language models for enterprise applications
  • Process Optimization: Analyzed and optimized business workflows to improve operational efficiency
  • Stakeholder Management: Collaborated with technical teams and business units to align AI product features with market needs
Product Management LLM Knowledge Base Business Analysis
Guangzhou Jiadu Zhitong Technology Co., Ltd.
02/2024 - 03/2024
A publicly listed company specializing in smart city solutions and intelligent transportation systems.
Data Analytics Intern
  • Data Analysis: Conducted in-depth analysis of traffic data to support AI model development for intelligent transportation systems
  • Model Evaluation: Performed comprehensive testing and performance evaluation of large language models for traffic management applications
  • Data Engineering: Developed web crawlers and data pipelines to continuously update and maintain the knowledge base
  • Reporting: Compiled daily analytical reports presenting key model metrics and performance indicators to stakeholders
Data Analysis Python Web Crawling Model Testing
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