I am passionate about building innovative
products with cutting-edge technology
Developed a frontend application similar to Netflix's web app for a company bringing native quality gaming into the browsers. Worked together with the designer and the CTO to rewrite the frontend client from EmberJS to ReactJS.
Designed and developed an in-house system for digitalizing healthcare job assignments and visualizing them to the company’s sales staff. Ran an iterative participatory design process to create a UI that eased the sales employees every-day workflow immensely. Then implemented the design using React, Apollo, GraphQL and Node.js
A Chrome New-tab Extension and web application visualizing how much time you have got to live. Developed with ReactJS with an emphasis on responsivity. During the project I experimented with creating a multi-platform build process for Chrome and the web.
A Messenger Chatbot application developed for the Budapest Bots Meetup group to engage the participants both during and in-between meetups. Features include: automatic meetup notification, event information, newsletter subscription, Q&A question submission and feedback sending. Developed with NodeJS and MongoDB.
All-in-one chatbot and analytics application for Messenger. Designed and developed the project on my own using ReactJS, NodeJS and Machine Learning tools in Python for the Natural Language Processing API. Used testing tools such as Jest and Tape during the development.
Landing page developed for the Chatler.ai company. Combined Gulp, Pug and SASS to create a Static-Site Generator behind the website, which provides: compilation commands, live reloading and easy deployment to AWS..
Combined data from the World Values Survey and Gapminder to help the exploration of countries around the world in regards to the rise of populism. Used ReactJS to develop the visualization components.
Visualized survey data for the Information Visualization class of 2018 at KTH Stockholm. The web application includes an automatic group creator and the tool to fine-tune the selections. Used the KMeans clustering algorithm to group the students based on their interests as well.