and squats, enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working in research and development (RND), I provided demand analysis, conceived system architecture, and developed core technology in AI projects Medical AI: Cancer Cells Detection Designed an image preprocessing algorithm and conducted training and optimization for a

Infra Cost Optimisation. AWS : EC2, S3, IAM, Route53, VPC, Autoscaling, EBS, ELB, ElasticSearch, CloudWatch, RDS, Lambda, EKS, MSK, AWS Secrets , Lambda, AWS DevOps, Kinesis , GaurdDuty, Boto3, AWS CLI Monitoring & Logging Prometheus , AlertManager Grafana Dashboards, AWS CloudWatch, Azure LogAnalytics Azure Monitor, Kibana, Thanos, Graylog , Opsgenie , Slack Network & Security Istio Service Mesh, SSL and TLS Certs Network Firewalls Ingress & Egress Controllers Routing, TGW and VPC Peering Infra As Code Terraform Terragrunt Go Lang ARM Templates, AWS CloudFormation Database Administration PostgreSQL MongoDB DynamoDB MSSQL Scripting python Scripting Bash & Shall Scripting :: Work Experience:: Skyflow Inc. FebruaryPresent Engineering Lead | SRE A WS | Kubernetes

Jimmy Hsu Miaoli County, [email protected] https://www.linkedin.com/in/jimmy-hsu-4894ba169/ Testing Mesh 工作經歷 QA Engineer • 17LIVE Inc. 三月Present | Taipei, Taiwan 公司：17 LIVE - WAVE 專案：手動測試 ＆自動化測試 工作職責： 1. 會根據PM給的spec去撰寫Test plan & Test case，撰寫完後會給PM & RD 去review，如有問題再做修正。 2. 測試APP，有

individually for each hair strands to add variations in density and length to different areas on the face. African Girl Created a full character model from a 3D scan of an African girl using Maya and ZBrush. Retopologized the model to optimize the polygon count and improve the mesh quality. Shaded and rendered the model using Arnold Maya, achieving more realistic look. "Bleeding Thread" Designed and created a 3D imaginative scene from scratch, using ZBrush as the main tool. Sculpted and modeled all elements of the scene, using ZBrush’s powerful features and brushes.

. Kubernetes Create self-manage cluster (KOPS) and fully managed (EKS)on AWS. Migrate AP from version 1.17 to 1.27, achieved zero downtime. Create a script to handle disaster recovery to another region, rebuilding K8S in 50 minutes. Implemented Istio to setting service mesh and mTLS, achieved zero-trust architecture. Metrics, Tracing, Logging Implement Prometheus & Thanos to monitor multiple clusters and manage monitoring easily. Implement EFK. Use fluent-bit and fluent to manage log flow. Implement Loki to collect logs from less frequently used clusters to achieve cost optimization

to manage and provision various AWS resources, including VPCs, RDS instances, EKS clusters, EFS file systems, OpenSearch clusters, Elasticache caches, and more. AWS Organization and IAM Role Management: Implemented AWS Organizations and IAM role-based access control to manage permissions across different environment accounts. Kubernetes Expertise: Leveraging service mesh tools like Istio and AWS App Mesh to enhance communication and security within microservices. Use Prometheus and AWS CloudWatch for effective monitoring of Kubernetes clusters. Use Karpenter for cluster auto-scaling. Multi-Tenancy Architecture: Successfully designed and implemented a multi-tenancy architecture for AWS resources and

500k booking per day) designed for automated price adjustment. Utilized Kafka, Spark, MS SQL, and Scala technologies, and automated the internal data flow (calculating room night target) by building scheduled Spark jobs . Gitlab Migration : Migrated Agoda Intelligence from Github to Gitlab, and automated testing, static check and service mesh deployment in Gitlab CI pipeline, where developers can easily deploy AI and Spark jobs by just a few clicks on the Gitlab UI. K8s : Built service cluster in K8s for AI, in which developers can deploy AI and its dependent services in K8s for testing within 1 minute