Родіон

Hrubalskyi Rodion
Frontend Developer
Ivano-Frankivsk, Ukraine | Open to Remote / Relocation
[открыть контакты](см. выше в блоке «контактная информация») [открыть контакты](см. выше в блоке «контактная информация») github.com/Hrubalskyi-Rodion

OBJECTIVE
Motivated and detail-oriented Junior Frontend Developer seeking an entry-level position.
Eager to grow professionally and contribute to high-quality, user-focused web products.
Looking to develop expertise within a collaborative and dynamic team.

SKILLS
Frontend: JavaScript (ES6+), HTML5, CSS3 / SCSS, React, Next.js
Tooling: Git, GitHub, Figma, REST API, GraphQL
Backend exposure: Node.js, Prisma ORM, Supabase (PostgreSQL), NextAuth
Familiar with: TypeScript, Tailwind CSS, Redux, MongoDB

WORK EXPERIENCE
E-Commerce Storefront | Personal Project | Sep 2025 - Present | Live: chop-co.vercel.app
GitHub: github.com/Hrubalskyi-Rodion/Chop.co

Built a responsive e-commerce storefront with pixel-perfect Figma implementation and custom
tablet adaptation using React 19 and Next.js 16 App Router
Designed a multi-filter product catalog (gender, category, color, size, price, search) with URL-
synced state
Implemented hybrid cart system: localStorage for guests and Supabase Postgres for authenticated
users, with automatic sync on sign-in
Integrated Google OAuth authentication using NextAuth and Prisma ORM for persistent user and
cart data
Built a repository pattern that switches between local mock data and DatoCMS (GraphQL) via a
single environment variable — keeping the UI fully decoupled from the data source
Delivered fully responsive UI across all breakpoints including animated mobile filter sidebar, image
gallery modal, skeleton loaders, and search dropdown

Technologies: React 19, Next.js 16, SCSS Modules, GraphQL, DatoCMS, NextAuth, Prisma,
Supabase

EDUCATION
Lviv Polytechnic National University | 2021-2025

Bachelor’s Degree in Automation and Instrumentation Engineering
Specialization: Metrology and Information-Measuring Technology
Diploma Project: Quality Evaluation of Neural Networks in Image Generation and Analysis Tasks
Relevant coursework: programming fundamentals, data analysis, basic machine learning concepts.