My Projects

FindWay is a globally oriented, asynchronous search and data platform designed to collect, index, and surface time-critical user-generated cases involving missing persons, animals, and stolen property across borders. The system operates as a unified data engine with multilingual, region-agnostic data models and cross-border case handling. Built from scratch with Ruby on Rails, scalable media storage using AWS S3, and an architecture optimized for high-volume writes and real-time discovery. The platform is designed to integrate AI-assisted moderation microservices for text and media filtering, operating as independent, scalable components within the system. FindWay is engineered for reliability, data integrity, and operational resilience in high-stress, real-world scenarios, including crisis and wartime conditions.

A master's thesis project: a fully interactive R/Shiny dashboard tracking vehicle registrations in Ukraine (2017–2023). Features include dynamic plots, time series forecasting, linear regression, model-(ARIMA), and advanced ETL workflows. Designed for policymakers, economists, and automotive analysts.

The system supports user-generated posts, with full commenting functionality at multiple levels, including comments on posts and discussions within thematic threads. Content is structured around topics, allowing users to create, discuss, and moderate themes as independent discussion units, resulting in complex polymorphic relationships between users, content types, and interactions. The platform includes, multilingual interface support.

This is a live presentation site and gateway for the FindWay search platform. • Internationalization: Supports English, Ukrainian, and Polish via flexible YAML-based i18n. • Modern design: Adaptive, clean Bootstrap 5 UI with animated elements. • Production-ready: Dockerized, reverse-proxied with Nginx, and secured with HTTPS via Let's Encrypt. • Role: Full cycle — from idea and design to infrastructure and deployment.

• Purpose: Automatically detect and block toxic, offensive, or unwanted content before publication. • Technology: Deep learning models trained on multilingual datasets, integrated directly into the FindWay workflow. • Flexibility: Real-time inference, customizable moderation policies for various languages and scenarios. • Impact: Reduces manual moderation workload, protects the community, and helps comply with regulations.