Projects
Track your trips digitally with a cutting-edge driver's trip tracker app for Android and iOS. Built using React Native and powered by Azure back-end infrastructure, the app offers a modern, user-friendly interface. Accurately record your trip details and store proof of trips in the form of dashboard images, all while ensuring your data is kept private and secure on your device. Learn more, in concluding, slideshow.
Mobile-first interactive web presentation of FactCheck framework. The app features a simple demo, animated interactive visualizations, guiding the user through the concept as well as internal processes of the framework. Developed at the University of Vienna, FactCheck is a framework for detecting and resolving conflicting data on the Web. See concluding, slideshow, for more details.
Explore the impact of COVID-19 with an interactive dashboard that presents data from multiple countries in dynamic visualizations. Filter the data by time, risk factors, and countries to gain valuable insights into the risk associated with the illness. Designed with user engagement in mind, the visualizations change in response to user interaction. For more details on the design process, refer to the Final Report.
Simple React app that aggregates official resources for refugees from Ukraine. Additionally, it allows application of duotone effect on uploaded picture in colors of Ukraine flag.
Full-fledged E-commerce solution built using the Microservice architecture. There are 7 independent services handling distinct domains. Those are authentication, inventory, notifications, shipment, transactions, user and back-end for front-end. Services modeled using Publish-Subscribe pattern are observed using Kafka message broker. Deployment is carried out using modern CI/CD practices. See report for details.
Sleek progressive Web App with native feel for private Veterinary clinic, designed with simplicity in mind and with powerful technologies working in the background. See source for demos and case study in which I have built the same app using 3 different cutting edge approaches.
Reservation system overview for veterinary doctor. Includes client and animal profiles. Content is transformed from XML to HTML and PDF summaries by means of XSLT and XSLT-FO, while being checked against XML Schema.
Simple social network with image only posts that can be upvoted. Posts are then sorted based on their ratings. All the usual user restrictions for number of posts, duplicates, inappropriate post etc. can be moderated by multiple admins.
Implementation of unsupervised machine learning techniques in python, visualized and explained in detail in Jupyter Notebooks. Used ML methods are Principle Component Analysis (PCA), clustering algorithms (DBScan, K-Means, Expectation Minimization, Average Link) and Apriori algorithm. In the last, using the apriori algorithm, a song suggestion based on preferences of the users are generated.
Performant implementation of the hash table data structure with collision handling technique Separate Chaining. Optimized using Valgrind instrumentation tool.