- Automated and improved the regular inspection process, saved at least 1.5 manpower a day with the help of AGV - Deployed "Automated Anomaly High Temperature Detection" function on internal website for engineers' daily usage - Conducted detailed experiments and PoC of time series anomaly analysis on collected temperature data (AER)

- Collaborative program with Ret[AI]ling Data

- Built an end-to-end basketball game analysis system that can identify team and number of players, track movements of players, analyze body postures and team tactics, transform perspective and map it onto a tactical board using machine learning - Surveyed latest papers and adapted a different framework to resolve id-switching problem in object tracking (BoT-SORT) - Implemented finest architecture by integrating two models into one and increased performance by 30% (Multi-task SE-ResNet) - Experimented different image processing methods and increased team classification accuracy by 30% (Densepose) - Compressed and deployed deep learning models on edge machines (Jetson Nano), increased speed by 300%

- Tracked global revenue of NTD$15M/month and stabilized cash inflows for the company - Analyzed and visualized internal data to gain business insights and make informed decisions - Optimized and accelerated operational processes by 50% using automatic tools in many aspects - Led a team of 5 interns and interviewed applicants, allocated different jobs properly to achieve monthly target