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css_experiment's Introduction

Hello, I'm Alexander Dischberg (Asyraf)

Pronouncing noxasch:

nox as in latin nox, asch as in ash.

Backend and Fullstack developer currently based in Malaysia (SEA).

こんにちは, アレクです

マレーシアからバックエンドとフルスタックエンジニア。


I love learning programming language with purpose, utilizing tech to solve real world problem, improving dev experience and all the engineering stuff involved.

Disclaimer: I am an Electronics Engineering Grads Majoring in Computer Engineering.

My Preferred Tech Stack

  • Backend: Ruby On Rails, Hotwire/Turbo, Stimulus, NestJs+FastifyJs, AdonisJS
  • Frontend: ReactJs+Vite, Vuejs, Flutter
  • Database: Sqlite, Postgresql, MariaDB, MySQL, Redis, MongoDB
  • Cloud: Digital Ocean, AWS infrastructure, Netlify
  • CICD: Github Action, AWS CodePipeline

Front-End Tech Stack

Although despite being professionally incline to prefer backend development and architecture, I also do Front End development on the side.

  • Web: Vuejs, Svelte
  • Cross-Platform: Flutter - (mainly use Riverpod for State Management, DiP, and Caching).

Development History

These are higlight of the tech I use the most througout the years:

  • 2000 - met my first computer
  • 2007 - build my own pc
  • 2008 - started with javascript
  • 2011 - C, C++, PHP and Wordpress
  • 2013 - VB.net and release D2OSL
  • 2014 - Java for OS and Android Development
  • 2016 - Python Face Recognition System, PHP web base application
  • 2017 - IOT Technologies and Digital Ocean, nodejs, expressjs
  • 2018 - Python Data Scraping Engine and AWS, ElectronJs (ex: Omnilytics, Fashion Analytics Company)
  • 2019 - Python Data Scraping Engine, Browser, Extension (ex: Omnilytics, Fashion Analytics Company)
  • 2020 - Flutter Development, Fastify, Browser Extension, Flutter (Freelancing)
  • 2021 - Ruby and Ruby On Rails 5, CircleCI and AWS (ex: Kaodim, Malaysia Service Marketpalce)
  • 2022 - Ruby On Rails 6, 7 and Flutter (ex: Kaodim, Malaysia Service Marketplace)
  • 2023 - Senior Fullstack software engineer (RoR 6, 7, DevSecOp, AWS, scaling)

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