Wei-Chih Chung Email & Phone Number

Hsinchu City, Taiwan, Taiwan

- Spearheaded the development and deployment of a computer vision system that reduced design review times by 8x, scaling across multiple projects and earning the 2022 “Project of the Year” award- Implemented advanced Computer Vision techniques to automate the detection of design inconsistencies, significantly improving efficiency and accuracy in early-stage design reviews- Created an AI-powered tool that reduced manual design tasks by 90%, recognized with the 2023 “Project of the Year” for optimizing the design process of engineering workflows- Developed algorithms to optimize complex design tasks, ensuring compliance with design standards while enhancing performance, contributing to improving the overall quality and efficiency of the product development cycle- Improved the accuracy of predictive models by 10%, ensuring that products met stringent quality standards before mass production. Published research paper in AI and engineering communities- Led the expansion of AI-driven tools from initial deployment on smaller projects to company-wide implementation, ensuring that the benefits of automation and optimization were realized across the board

Taiwan

- Developed and refined a predictive modeling pipeline, enhancing risk classification accuracy using PostgreSQL, Python, and PyTorch- Implemented model training enhancements to establish performance benchmarks, achieving a notable 75% F1 score in player behavior predictions- Instituted an iterative model development schedule to foster transparency and improve client engagement through explainable AI features

Taipei City, Taiwan

- Developed and maintained a full-stack product solution, automating cost analysis for printed circuit boards using Python, React, and Docker, achieving a 60% reduction in analysis time- Enhanced an object detection model for quality assurance processes, reducing inference time by 75% and improving accuracy by 15% through efficient model implementation and data relabeling- Conducted comprehensive product teardown analyses, contributing to detailed cost analysis and optimizing the data preparation workflow- Facilitated data-driven decision-making by providing meticulous data preparation support, enabling the team to allocate resources more strategically

Hsinchu County/City, Taiwan

- Collaborated with healthcare professionals to analyze employee health data, identifying key factors influencing heart-related diseases- Developed a predictive model using Python and XGBoost, targeting early detection of metabolic syndrome among 40,000+ employees- Optimized feature selection and model parameters to achieve a 90% F1-score, demonstrating the model's high accuracy in health risk prediction

Master Of Engineering - Meng, Artificial Intelligence (Computer Science)

Master'S Degree, Industrial Engineering, 3.80 / 4.3

Activities and Societies: Club: BizProConcentrations: Data Science, AI and Computer Vision in Medical Science Topic: Active Contour Model.

Bachelor'S Degree, Industrial Engineering, Cumulative Gpa : 3.53 / 4.3; Senior Gpa: 3.90 / 4.3 (Last 65 Credits)

Activities and Societies: Director of NCTU IEM Student Association, Volleyball