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Prompt Engineering to create a sophisticated system for generating virtual try-on images, ensuring seamless and realistic visualization of clothing items on virtual avatars. Computer Vision Stable Diffusion Body AI: Mobile Scanner Successfully reconstructed highly accurate 3D body models by leveraging two full-body side profile photos, achieving a remarkable precision level with a size error margin of less than 3 cm. Computer Vision Body Reconstruction Stable Diffusion DApp: Exercise Classification Implemented real-time activity recognition for specified exercises, including but not limited to push-ups and squats, enabling accurate tracking and analysis of workout routines. Skeleton

Wei Te Chang Senior business development and product manager Developing and growing business for leading startups from Taiwan, focusing on VR/AR/AI/CV technologies, product management, and business development. • Global working experience in China/Taiwan/Japan. • Responsible, Strong Problem Solving and Multi-task ability • Great communication skills to cooperate with cross-cultural teams. • Demonstrate great leadership through previous working experience. Tokyo 23 wards, Tokyo, Japan 工作經歷 senior business development and product manager OSENSE TECHNOLOGY CO., LTD. 五月八月 2023 Tokyo, Japan 關鍵

database. 八月七月 2011 研究助理 中央研究院生物多樣性研究中心 Bioinformatics research in Dr. Li (李文雄)'s lab (NGS Core lab). Write Perl scripts for bioinformatics analysis. 學歷國立台灣大學 生醫電子與資訊學所國立台灣大學 生命科學系 技能 Ruby on Rails Python Go Rust SQL Google Cloud Docker Git Ruby 語言 Chinese — 母語或雙語 English — 中階

整符合商業需求 領導規劃內部人員權限前後端系統設計，以適當的技術架構確保不同職位的成員擁有適當的權限 導入 react-query 、react-final-form 並在讀書會中向所有前端夥伴介紹優劣與如何在專案上應用 導入 ant-design ，並製作共用 console-ui package 供數十個後台使

China's most iconic company inProduct early research, define software specs and lead software structure design. Help coordinate between engineers in Taiwan and China. Lead core algorithm and data structure development: Nesting, Path planning, Sync drilling. Optimizing the TCP module, improving packet processing efficiency by 30%. Redesign the logging mechanism, increasing the searching and logging efficiency by 90%. Software Engineer • Syntec ( Kernel Architecture Section ) Sep~ DecMaintaining a multi-threaded CNC controller system using C++. Maintaining FPGA communication modules with Xilinx ISE using Verilog. Being the section contact window, classifying reported bugs

Hsu, "Visual-Textual Convolutional Neural Network: Rening Image Representation With Click-Through Data", to appear in going to submmit in arXiv. Research Experience Research Assistant, Seppresent Communication and Multimedia Lab (CMLab), NTU Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details from low resolution image with hints in crawled web images. Leveraged frame similarity to speed up CNN-based object detection and semantic segmentation models, e.g. FPN, PSPNet, YOLO, Faster-RCNN, and SegNet. Proposed a multimodal CNN achieving high fine-grained classification accuracy

詢系統，以及個人的指數投資計畫維運工具 side project ( github.com/hjcian/inertia-web )。 以下是我使用的技術棧： Backend : Go, Python, Node.js, C/C++ Frontend : React.js Database : PostgreSQL, MongoDB, Redis Message Queue : Google Cloud Pub/Sub, RabbitMQ, Mosquitto Object Storage : Google Cloud Storage, MinIO Containerization/Orchestration : Docker, Kubernetes CI/CD : Drone CI, GitLab CI/CD, GitHub Actions, Bitbucket Pipelines, ArgoCD , Spinnaker Observability : Grafana, Prometheus , Jaeger , Loki, Google Cloud Profiler