Yu-Chuan Chen (Charles Chen) A proactive BS student in Physics and minor in Computer Science at the National Chung Hsing University. Possess strong leadership and empathy to promote teamwork. Have the physics characteristic of finding origins of problems and emphasis on definition of things. Keen to pursue a career in software engineering with a focus on software development and data science! Email: [email protected] EDUCATION National Chung Hsing University | Taichung, Taiwan Sep 2018 – Jun 2022 Bachelor of Science , Major in Physics and Minor in Computer Science and Engineering Last 60 GPA: 3.
Full-time / Interested in working remotely
Less than 1 year
National Chung Hsing University
Physics, Minor in Computer Science and Engineering
Process Engineer @Taiwan Semiconductor Manufacturing Co.
2020 ~ 2021
Within six months
Data Scientist • Statista JanuaryPresent • I am working on statista (Apprenticeship) and learning data science with python. • Data wrangling with Pandas, Numpy, Scipy and Statsmodels Android Developer • Java | Firebase | Android Studio JuneSeptember 2021 • I have DoneAndroid Applications . Like Video Player Apps , Gaming Apss , E-Commerce Applications,etc Data Scientist • TensorFlow JanuaryPresent • I am learning and doing an internship at tensor flow as a data scientist. • Reduced customer support call time by 50% through building a machine learning model to predict customer support issues. Digital Marketer • Digital Forest Technologies JanuaryPresent I work with International Clients as a Digital
2022 聯發科技AI競賽 IEEE ICME 2022 Grand Challenge: Low‑power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene in Asian Countries @國立中央大學 National Central University
2022 ~ 2022
Within three months
com Experience AMD，2022/05 - present Develop GEMM kernel for AMD GPU in GCN assembly Study on different stratedies on GPU kernel fusion such as GEMM + GEMM and GEMM + Softmax + GEMM Appier，2022//05 Developed API for AIQUA service Skymizer，2020//03 TensorFlow integration with DLA (Deep Learning Accelerator) Sped up float to int8 quantization by using x86 SIMD instructions(10%~50% improvement depends on batch size) Developed customized neural network visualization tool to help developers to debug graph partitioning result Amended forward shape inference in TensorFlow(e.g. Pad