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About me

  • 👨‍💻 Self taught Web Developer
  • 👨‍🎓 Graduated in Business Administration
  • 📱 Prefers SvelteKit for Frontend
  • 💽 Prefers Go for Backend

Technologies I use

HTML

CSS

Javascript

Typescript

NodeJS

Svelte

Vue

React

TailwindCSS

Git

Go

MongoDB

Redis

Docker

PWA



Stats

GitHub stats

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Contributions

A2's Projects

531 icon 531

A custom fitness-app for my workout

c19_vaccine_trial_tracker icon c19_vaccine_trial_tracker

A frontend showing the state of clinical trials of current Covid-19 vaccines using the API of clinicaltrials.gov. Built with React.

covid19-vaccine-trials icon covid19-vaccine-trials

A frontend showing the state of clinical trials of current Covid-19 vaccines using the API of clinicaltrials.gov. Built with Vue 3 and Bootstrap 5.

fullstack-open-vue icon fullstack-open-vue

A Vue Edition of University of Helsinki's Fullstack Open curriculum built with VuePress (SSG) and Vite.

histamin-ampel icon histamin-ampel

A PWA that provides information about various food items for people who are intolerant to histamines or want to avoid them.

patientor_backend icon patientor_backend

Repository for the backend of the patientor exercise in the TypeScript chapter of University of Helsinki's fullstack certificate

patientor_frontend icon patientor_frontend

Repository for the frontend of the patientor exercise in the TypeScript chapter of University of Helsinki's fullstack certificate

snipsnip icon snipsnip

A pastebin-like application written in Go

spacex-launches icon spacex-launches

Display past SpaceX missions with details using the SpaceX GraphQL API. Built with Vue and Bootstrap 5.

vscode-gitlens icon vscode-gitlens

Supercharge Git inside VS Code and unlock untapped knowledge within each repository — Visualize code authorship at a glance via Git blame annotations and CodeLens, seamlessly navigate and explore Git repositories, gain valuable insights via rich visualizations and powerful comparison commands, and so much more

whatsstat icon whatsstat

A program that analyzes exported WhatsApp chats and prints out a wordcloud of the most used words, a bar chart of the most active days and a line chart for the most active times, written in Python and using Qt for the GUI

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