Ілля

Illya Klus
Web Fullstack developer with 2 years experience
Node.js - NestJS - React - Next.js - PostgreSQL - Docker - RabbitMQ - AWS

EDUCATION
Lviv Polytechnic National University Bachelor’s Degree Computer Science

TECHNICAL SKILLS
Languages JavaScript (ES6+), TypeScript
Back-end Node.js, NestJS, Express.js Rest API’s, GraphQL
Front-end React, Next.js, Redux, Zustand, Tailwind CSS, MUI
Databases PostgreSQL, MongoDB, Redis, Elasticsearch, Prisma, TypeORM
Messaging Kafka, RabbitMQ, AWS SQS
Cloud & DevOps basic AWS, Docker, basic Kubernetes, CI/CD
Testing & Tools Jest, Playwright, Swagger, Postman, Datadog

EXPERIENCE
Dashly - Food delivery platform
Stack: Next.js - NestJS - Mongo - PostgreSQL - RabbitMQ - Stripe API
• Designed the notification service as a separate microservice with asynchronous delivery via
RabbitMQ (push, email, SMS channels).
• Leveraged MongoDB for storing flexible user preference schemas, enabling quick reads without
joins.
• Implemented idempotent payment processing to eliminate duplicate transactions during network
failures.
• Co-designed a PostgreSQL schema for transactional data (orders, payments, users) taking into
account data integrity.

Zoomio — E-commerce platform for pet products Full-Stack Engineer
Stack: Next.js - NestJS - PostgreSQL - Redis - Docker - AWS EC2
• Configured CI/CD pipeline via GitHub Actions with automatic build, test execution and deployment
to AWS
• Implemented caching of product catalog and cart sessions via Redis to reduce unnecessary
database requests
• Implemented product filtering by category, brand and price with basic indexing in PostgreSQL
• Built a stock management module with product quantity tracking and front-end balance display
• Integrated Stripe to process order payments with basic webhook processing

Kazkar - Interactive platform that generates fairy tales using parents’ recorded voices
Stack: React - Express.js - PostgreSQL - AWS ECS/S3 - Docker
• Designed and implemented an AI-driven storytelling flow that generates personalized fairy tales
from parents’ recorded voices.
• Developed a secure access system for private family-generated content with role-based
permissions.

• Implemented asynchronous processing pipelines to handle long-running voice transformation
tasks.
• Improved system responsiveness and reliability under concurrent media processing workloads

LANGUAGE
English – B2 (upper-intermediate) - German - A2 (beginner) - Ukraine - Native