Xi-Zhen Wang
WWW Member at 國立陽明交通大學資訊工程學系資訊中心- Claim this Profile
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Bio
Experience
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WWW Member
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Sep 2021 - Present
Key Responsibilities: ● Maintained official websites and internal services. ● Developed new services using Laravel, Vue3, and MariaDB. Accomplishments: ● Served as PM of the development Salary system. Key Responsibilities: ● Maintained official websites and internal services. ● Developed new services using Laravel, Vue3, and MariaDB. Accomplishments: ● Served as PM of the development Salary system.
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eCloudvalley Digital Technology
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Taiwan
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IT Services and IT Consulting
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300 - 400 Employee
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AWS Managed Service Provider Intern
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Feb 2021 - Mar 2022
Key Responsibilities: ● Learned AWS services and wrote technical articles. ● Developed internal projects for MSP requirements, which helped them troubleshoot automatically. ● Refactored the IaaS to FaaS to reduce cost or increase deployment efficiency. Accomplishments: ● Developed the Incident Management System which can resolve approximately 70% of CloudWatch alarms. ● Refactored Wiki System from EC2 to ECS. ● Held an EKS Workshop to share the technology of EKS and Kubernetes with team members. Technologies: ● Incident Management System: - Lambda, Step Function, EventBridge, CloudWatch, DynamoDB, Secret Manager, S3, SNS - Terraform, Gitlab Ci, Scrum ● Wiki System: - ECS, ECR, ALB, VPC - Docker Show less
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ML/DL - case member
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Sep 2020 - Jan 2021
• Developed an AI automated monitoring platform system to detect the anomaly error logs in the game server. • Notified anomaly events to IGS in real-time. • Used Deep Learning to analyze time-series data and adaptive threshold to update the anomaly range. • Deployed the model in the GCP, use Bigquery to process the data. • Wrote technical documents (AR model, DSANet, GCP). • Researched the papers per week to solve the problems. • Developed an AI automated monitoring platform system to detect the anomaly error logs in the game server. • Notified anomaly events to IGS in real-time. • Used Deep Learning to analyze time-series data and adaptive threshold to update the anomaly range. • Deployed the model in the GCP, use Bigquery to process the data. • Wrote technical documents (AR model, DSANet, GCP). • Researched the papers per week to solve the problems.
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諾基亞
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China
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IT Services and IT Consulting
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Backend case member
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Feb 2020 - Nov 2020
• Developed a 5G RF Platform System, provide RF (radio frequency) engineers to optimize base stations online. • Used Django as backend and MySQL as database. • Used ORM to access the database and combine parameters into complex queries. • Adjusted database and optimize SQL, to enhance the performance due to the huge amount of daily base station data. • Used OAuth2 to provide third-party service permissions and tokens for verification. • Developed a 5G RF Platform System, provide RF (radio frequency) engineers to optimize base stations online. • Used Django as backend and MySQL as database. • Used ORM to access the database and combine parameters into complex queries. • Adjusted database and optimize SQL, to enhance the performance due to the huge amount of daily base station data. • Used OAuth2 to provide third-party service permissions and tokens for verification.
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Taipei Computer Association 台北市電腦公會
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Taiwan
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Non-profit Organization Management
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1 - 100 Employee
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Backend - case member
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Jul 2020 - Sep 2020
• Developed a system with an RNG algorithm, which assists TCP to solve the game manufacturers may fake the draw probability in the game. • Used Golang as the backend to solve the concurrency situation. • Used MongoDB, and design the schema. • Encrypted the draw result with a digital signature (RSA-SHA256) to ensure correctness. • Implemented Continuous Deployment (CD) with Docker. • Developed a system with an RNG algorithm, which assists TCP to solve the game manufacturers may fake the draw probability in the game. • Used Golang as the backend to solve the concurrency situation. • Used MongoDB, and design the schema. • Encrypted the draw result with a digital signature (RSA-SHA256) to ensure correctness. • Implemented Continuous Deployment (CD) with Docker.
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Education
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國立交通大學
碩士, 資訊科學與工程研究所 丁組 -
國立臺灣科技大學
學士, 資訊工程學系