Іван

Ivan Dumnytskyi
JavaScript Developer
I specialize in developing modern, full-stack web applications. I have hands-on
experience building client-side interfaces with React and Next.js, as well as designing
scalable server-side architectures using Node.js, NestJS, and both relational and
NoSQL databases. I take a comprehensive approach to development— from REST API
design and business logic implementation to building interactive user interfaces and
data management.
Contacts
Projects
Phone
[відкрити контакти](див. вище в блоці «контактна інформація»)
2026
Email
Piyachok
[відкрити контакти](див. вище в блоці «контактна інформація»)
Frontend & Backend
GitHub
A platform for finding venues and people to spend leisure time with. The
https://github.com/St1ve42
application features a venue catalog with search, filtering, and sorting;
Education detailed venue pages; a rating and commenting system; a news feed. The
core feature is finding people to go out with. It also includes a user profile
2022-2026 and separate admin panels for venue owners and superadmins. Tech stack:
Computer Physics
Next.js, NestJS, MySQL, TypeORM.
Ivan Franko National University of Lviv

2025-2026 2025-2026
JavaScript Complex Autoria Сlone
Okten School Backend
An API for a vehicle sales marketplace. The project features authentication,
Technology stack role-based authorization, and CRUD operations for listings with filtering,
sorting, search, and statistics. It also includes role-based dealership
Markup and styling: HTML5, CSS3,
Tailwind CSS management and reviews, user subscriptions, and functionality to request
Programing languages: JavaScript, brands that are not yet listed. Tech stack: Node.js, Express.js, MySQL,
TypeScript MongoDB, Prisma, Mongoose.
Frontend: React, Next.js 2025
Backend: Node.js, Express.js, NestJS KinoLand
Databases: MySQL, MongoDB Frontend
ORM: TypeORM, Prisma
A web application for searching and browsing movies, developed using
ODM: Mongoose
DevOps: Docker, Nginx the TMDB API. The main page contains trending movie collections. By
selecting a genre, users can see relevant movies with search and sorting
General skills features. The web application implements a detailed movie page with full
information and rating functionality. Tech stack: React, Redux, TanStack
SOLID principles
Query, Axios, Joi, Tailwind CSS. The project also has an alternative version
Tools: Git, Figma, GitHub Copilot built with Next.js.

Languages
English (B1)
Ukrainian (Native)