Kaohsiung City, Kaohsiung City, Taiwan
As far as I can remember, I have always been passionate about electronic devices and computer systems and I always love learning new things about them. to pursue a degree in computer engineering where I not only gained a wealth of professional knowledge, but also gained many precious happy memories from participating in activities and competitions. I have learned so much technical skills such as programming and hardware assembly it taught me to strive for perfection in everything that I do. After I graduate, I pursued a Master's degree in Business Administration in Taiwan at National Kaohsiung University of Science and Technology. Here I learned that communication is very important. and I learned a valuable lesson." a person alone is limited to what he can do. But with others, the possibilities are endless." As a Filipino, I am a native speaker in both Tagalog (Filipino language) and English (TOEIC score 975). I've also passed the exam to obtain professional qualifications such as the CISCO certificates for networks. Experts conducted research and statistics on the employees of the "Top 500 American Enterprises", and pointed out that "the influence of EQ on work achievement is twice that of IQ", and I consider myself to have a good EQ. The competition in the workplace is very fierce. If you do not maintain flexible thinking and a positive learning spirit, you will soon be overwhelmed by the trend of competition. If I am fortunate enough to be appreciated by your company, I will continue to maintain a positive attitude in the future and repay your appreciation with excellent work performance!
Developed AI-based systems that assist operators and engineers in defect detection and yield prediction in semiconductor manufacturing. Built models using PyTorch, TensorFlow, NumPy, and OpenCV, and deployed them across Windows, Linux, and Docker environments. Designed custom UIs in C# .NET, Python, and HTML to visualize AI results efficiently. Here are some of the achievements I have accomplished while working in ASE: ● Saved the company NT$20 million annually by developing a system that assists operators in detecting defects in the wafers after wafer saw. Significantly increasing the station’s throughput. ● Created a lightweight anomaly detection model for wirebond inspection, capable of analyzing 4600×4600 images on GPUs with only 4 GB of memory. Allowing the model to be deployed on older hardware. ● Developed an AI-assisted system for detecting defects in Scanning Acoustic Tomography (SAT) images, capable of identifying defects across multiple SAT layers. This allows operators to easily locate defects and allows engineers to maintain and improve the AI model without any prior programming knowledge. ● Continuously reviewed the latest publications and research on visual inspection and anomaly detection models so that I can deploy state-of-the-art AI models such as Patch core, Yolo, EfficientAD, UniVAD and improve accuracy and performance.