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Yu-Shin Hu

Yu-Shin Hu

Data Scientist / AI Application Engineer

人才
Taipei加入時間 2026年9月15日
AI ApplicationsData ScienceData AnalysisOptimizationMachine LearningDeep LearningSQLClaude CodeCodexPython
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AI ApplicationsData ScienceData AnalysisOptimizationMachine Learning

關於

  • Experienced in developing data-driven and AI solutions, including data pipelines, automation systems, and intelligent applications.
  • Skilled in leveraging AI agent tools and software development workflows to accelerate engineering productivity.
  • Background in data analysis, optimization, and applied machine learning for actionable insights.
  • Proven ability to deliver end-to-end solutions from data exploration and prototyping to production deployment.

工作經歷

AI Application Engineer at Luxea (Startup) (2026-06 – Present)

  • Led technology development for an e-commerce startup, spanning AI applications, data infrastructure, and automation workflows.

AI Data Scientist at Zhian Tech Innovation (2026-03 – 2026-06)

  • Served as the team's AI advisor, driving AI-native development with agentic and spec-driven workflows.
  • Delivered data science solutions in predictive modeling, OCR/CV, social media crawling, customer analytics, and dashboards.

AI Test & Application Engineer Intern at Sweet-Spot AI (Startup) (2025-10 – 2026-02)

  • Contributed to startup projects, responsible for end-to-end data pipelines (collection, cleaning, analysis) & full-stack development.
  • Leveraged AI coding agents (e.g., Claude Code, Codex, Cursor AI) to accelerate software development and enhance productivity.

Data Engineering Intern at Dreamsoft Data Tech (2025-07 – 2025-08)

  • Designed automated scraping pipeline to extract and process data across diverse web sources, significantly reducing manual effort.
  • Prepared user guides and technical documentation to support future onboarding.

Research Assistant at E3 (Energy × Economics × Environment) Center (2022-06 – 2025-08)

  • AI Forecasting: forecasted electricity consumption using deep learning and clustering; mentored probabilistic time series projects.
  • Optimization Applications: pioneered a two-stage V2B optimization model; implemented a rolling-window multi-objective strategy for Gogoro stations; developed a user-reward-driven self-balancing algorithm for mitigating YouBike station imbalances.

教育背景

  • Master of Computer-Aided Engineering in Civil Engineering – National Taiwan University (2023-09 – 2025-07)
  • Bachelor of Science in Physics – National Taiwan University (2019-09 – 2023-06)
  • High School Diploma in Mathematics and Science Talent Class – Taipei First Girls High School (2016-09 – 2019-06)

技能

Data Scientist / AI Application Engineer

評價

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