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,我領導為物聯網應用開發 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。