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郭灃儀 (Fong-Yi Guo)
I am a data scientist with diverse skills spanning data engineering, backend development, and site reliability engineering (SRE). Proficient in the Scrum framework, I excel at cross-functional team collaboration and am dedicated to solving complex problems efficiently.
我是一名資料科學家，具備多元技能，涵蓋資料工程、後端開發及 SRE（Site Reliability Engineering）。熟悉 Scrum 框架，擅長跨職能團隊合作，並致力於以高效的方法解決複雜問題。
Taipei City, Taiwan [email protected]
Work Experience
Data Scientist • 創星物聯科技股份有限公司
May 2021 - Present
As a Data Scientist at Trans-IoT, I lead the development of AI-driven solutions for IoT applications, specializing in machine learning models, backend systems, and data engineering. I design and optimize data pipelines, implement scalable backend services, and ensure system reliability through SRE practices. In addition, I have contributed to government-funded research projects, such as flood detection using driving images, where I was involved in model development, solution design, and report writing. I collaborate with cross-functional teams and we are planning to implement MLOps for model deployment in the future.
作為 Trans-IoT 的資料科學家，我領導物聯網應用開發 AI 驅動的解決方案，專注於機器學習模型、後端系統和資料工程。我負責設計和優化資料處理管道，實現可擴展的後端服務，並通過 SRE 實踐確保系統的可靠性。此外，我也參與了政府資助的科研專案，例如使用行車影像進行積淹水偵測，負責模型開發、解決方案設計及報告撰寫。我與跨職能團隊密切合作，並計劃未來導入 MLOps 以進行模型部署。
研究助理（音樂認知研究） • 國立臺灣大學醫學院腦與心智科學研究所
September 2018 - September 2020
主要研究相對音感與右側後頂葉皮質之間的關係。建立音感測試網站大量篩選受試者，減少現場時間消耗並提升招募受試者的效率。
Education
2017 - 2020
National Taiwan University
Cognitive Neuroscience
2011 - 2016
National Chung Hsing University
Life Science
Skills
- Python
- yolo
- Deep learning with TensorFlow
- LLM
- Machine Learning
Languages
- Chinese — Native or Bilingual
- English — Intermediate
- German — Beginner
郭灃儀 (Fong-Yi Guo)
I am a data scientist with diverse skills spanning data engineering, backend development, and site reliability engineering (SRE). Proficient in the Scrum framework, I excel at cross-functional team collaboration and am dedicated to solving complex problems efficiently.
我是一名資料科學家，具備多元技能，涵蓋資料工程、後端開發及 SRE（Site Reliability Engineering）。熟悉 Scrum 框架，擅長跨職能團隊合作，並致力於以高效的方法解決複雜問題。
Taipei City, Taiwan [email protected]
Work Experience
Data Scientist • 創星物聯科技股份有限公司
May 2021 - Present
As a Data Scientist at Trans-IoT, I lead the development of AI-driven solutions for IoT applications, specializing in machine learning models, backend systems, and data engineering. I design and optimize data pipelines, implement scalable backend services, and ensure system reliability through SRE practices. In addition, I have contributed to government-funded research projects, such as flood detection using driving images, where I was involved in model development, solution design, and report writing. I collaborate with cross-functional teams and we are planning to implement MLOps for model deployment in the future.
作為 Trans-IoT 的資料科學家，我領導物聯網應用開發 AI 驅動的解決方案，專注於機器學習模型、後端系統和資料工程。我負責設計和優化資料處理管道，實現可擴展的後端服務，並通過 SRE 實踐確保系統的可靠性。此外，我也參與了政府資助的科研專案，例如使用行車影像進行積淹水偵測，負責模型開發、解決方案設計及報告撰寫。我與跨職能團隊密切合作，並計劃未來導入 MLOps 以進行模型部署。
研究助理（音樂認知研究） • 國立臺灣大學醫學院腦與心智科學研究所
September 2018 - September 2020
主要研究相對音感與右側後頂葉皮質之間的關係。建立音感測試網站大量篩選受試者，減少現場時間消耗並提升招募受試者的效率。
Education
2017 - 2020
National Taiwan University
Cognitive Neuroscience
2011 - 2016
National Chung Hsing University
Life Science
Skills
- Python
- yolo
- Deep learning with TensorFlow
- LLM
- Machine Learning
Languages
- Chinese — Native or Bilingual
- English — Intermediate
- German — Beginner