張智鈞

Collaborated with manufacturing teams to identify operational pain points and design and deploy AI-driven solutions for production and monitoring systems. Built rapid prototypes to validate use cases and worked closely with MES, SRE, and data engineering teams to integrate AI functionalities into internal systems.

Data Science Engineer at Garmin (2023-10 – 2026-03)

• Collaborated with manufacturing teams to identify operational pain points and design and deploy AI-driven solutions for production and monitoring systems. Built rapid prototypes to validate use cases and worked closely with MES, SRE, and data engineering teams to integrate AI functionalities into internal systems.

Industry-Academic Research Assistance at Winbond Electronics Corporation (2021-06 – 2022-07)

• Developed a multi-agent reinforcement learning system for industrial chiller energy optimization in collaboration with Winbond Electronics Corporation. Designed simulation and forecasting models using LSTM, neural networks, genetic algorithms, and time-series prediction techniques.
• Awarded Best Paper at the Chinese Institute of Industrial Engineers Annual Conference in 2022. Research was also submitted to the International Journal of Production Economics in 2024.

Master of Information Management in Information Management – National Taiwan University (2020-09 – 2022-06)

Bachelor of Science in Statistics – National Chengchi University (2016-09 – 2020-06)