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王璽禎
WWW Member @ 國立陽明交通大學資訊工程學系資訊中心
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王璽禎

WWW Member @ 國立陽明交通大學資訊工程學系資訊中心
2+ years of development experience as a software engineer intern in the Cloud (AWS) and Backend (Python) fields. A young and fast learner who has a passion for exploring new technologies. With a good attitude, responsibilities, and ability to cooperate with the team.
國立陽明交通大學資訊工程學系資訊中心
NYCU, 國立陽明交通大學

Latar Belakang Profesional

  • Status sekarang
    Tidak bekerja
  • Profesi
  • Bidang
    Software
  • Pengalaman Kerja
    Kurang dari satu tahun (relevan Kurang dari satu tahun)
  • Management
  • Skil
    Python
    Golang
    SQL
    Docker
    AWS
    Redis
    Git
    C/C++
    Kubernetes
  • Pendidikan tertinggi
    Master

Preferensi pencarian kerja

  • Jenis pekerjaan yang diinginkan
    Magang
    Tertarik bekerja jarak jauh
  • Jabatan pekerjaan yang diinginkan
    backend
  • Lokasi pekerjaan yang diinginkan
  • Bekerja lepas
    Pekerja lepas paruh waktu

Pengalaman Kerja

WWW Member

09/2021 - Sekarang
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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AWS Managed Service Provider Intern

01/2021 - 03/2022
1 yr 3 mos
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
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ML/DL - case member

09/2020 - 01/2021
5 mos
• 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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Backend - case member

02/2020 - 11/2020
10 mos
• 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 DB 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.

Backend - case member

07/2020 - 09/2020
3 mos
• 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.

Edukasi

Master
資訊科學與工程研究所
2021 - 2023
Sarjana
Computer Science
2018 - 2021
3.9/4.3 GPA