▋ As the Technology Lead, we adopt Agile developement in multiple projects, make sure our product delivery on schedule. I also in charge of CICD automation, on kubernetes of Azure Cloud or on premise local machine, depend on different project needs.· Cloud Architecture Management -- In charge of CICD auto deployment based on GitOps. Developers may leverage the concept of Infrastructure as Code (IaC) to enable version control on their application deployment or cloud resource… Show more ▋ As the Technology Lead, we adopt Agile developement in multiple projects, make sure our product delivery on schedule. I also in charge of CICD automation, on kubernetes of Azure Cloud or on premise local machine, depend on different project needs.· Cloud Architecture Management -- In charge of CICD auto deployment based on GitOps. Developers may leverage the concept of Infrastructure as Code (IaC) to enable version control on their application deployment or cloud resource provisioning.· Enterprise Architecture -- Cross-domain testing data unification. Horizontal integration between different enterprise systems, to track issue and provide an overview of PCB processing flow. Help to maintian the manufacture knowledge-base for AI Chatbot training.· GPU based ML platform -- PCB Defect detection using AI models by edge computing and GPU based Kubernetes platform. AI models may be automatically retrained once the model health is dropping.· Robot Control System -- Integrate hotel systems into robot IoT architecture. With Robot control system, complex missions are segmented into series of actions. For instance, closing the gate upon entering an elevator, or calling the extension phone upon reaching the hotel room door. Show less

▋ Being in Cutting-Edge Tech team, we explore all kinds of opportunities on GPU computing, such as GPU-based private cloud , Cuda programming, Serverless Lambda function and edge computing by TPU. · Cloud-based GPU Machine Learning Platform: E2E Machine Learning Platform. Including Data ingestion, GPU-based Deep Learning, Model deployment and Server-less Lambda function for Wafer Defect detection.· Hadoop Platform: Workflow engine on BigData for end-user to leverage Apache… Show more ▋ Being in Cutting-Edge Tech team, we explore all kinds of opportunities on GPU computing, such as GPU-based private cloud , Cuda programming, Serverless Lambda function and edge computing by TPU. · Cloud-based GPU Machine Learning Platform: E2E Machine Learning Platform. Including Data ingestion, GPU-based Deep Learning, Model deployment and Server-less Lambda function for Wafer Defect detection.· Hadoop Platform: Workflow engine on BigData for end-user to leverage Apache Spark to distributedly compute on the data with scale of Patabytes.· Edge Computing on Streaming: TPU-based edge computing for Industry 4.0.· Data Encryption System: Use Hardware encryption and Key Management Service (KMS) to prevent the single admin leakage risk.· Inter-departmental Communication: In charge of cross-functional communication and control working progress between different IT departments. Show less

· Motion Sensors: User behavior detecting, transportation vehicle type detecting.· Health care: Mobile application for ECG (Electrocardiogram) health care project· Mobile Photo Experience: Integrated state-of-art image processing technology into mobile device, such as Auto photo grouping, Semantic thumbnails.

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