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ARTEM ILLIUSHCHENKO
Fullstack Developer

SUMMARY
Junior Fullstack Developer with hands-on experience in building scalable,
responsive web applications using the MERN stack (MongoDB, Express.js,
React, Node.js) and Next.js. Proficient in designing RESTful APIs, managing
secure user authentication, and developing dynamic user interfaces.
Experienced in Agile team environments, effectively collaborating via
Git/GitHub, and delivering maintainable, production-ready code. Focused
CONTACTS on continuous technical growth and building robust end-to-end solutions.

[open contact info](look above in the "contact info" section)

[open contact info](look above in the "contact info" section) PROJECT EXPERIENCE
Kyiv, Ukraine
PREGNANCY TRACKER APP

https://github.com/ArtemIlliushchenko
Leleka
Fullstack Developer (Team Project)
[open contact info](look above in the "contact info" section) An interactive web application designed to support pregnant women by providing dynamic
illiushchenko/ week-by-week fetal development tracking, personalized daily health tips, and a built-in task
reminder system.

https://t.me/Slatesk
Frontend Development:
Developed a dynamic, multipage user interface using Next.js (App Router) and TypeScript.

SOFT SKILLS Implemented a flexible page-container architecture for the Journey Module, ensuring
seamless synchronization between route parameters ([weekNumber]) and data fetching
Critical Thinking tabs ("Baby Development" and "Mom's Body").
Integrated Axios for efficient client-side HTTP requests, optimized loading states, and robust
Teamwork error handling.
Built scoped, adaptive layouts using CSS Modules, maintaining visual consistency with
Time Management Figma mockups across all screen resolutions.
Ensured high application performance and optimized Large Contentful Paint (LCP) by
leveraging Next.js native <Image /> components.
Leadership
Backend Development:
Effective Communication Architected a scalable RESTful API utilizing Node.js and Express.js within a clean, layered
architecture (Routes, Controllers, Services).
Designed dynamic database schemas using MongoDB and Mongoose ODM to manage
content for 40 gestational weeks.

HARD SKILLS Implemented a mathematically stable algorithm linked to the user's dueDate to
automatically compute the current pregnancy week and serve static, unique "daily tips" per
Languages: JavaScript, 24-hour cycle instead of using volatile randomization.
Created private endpoints protected by custom authentication middleware alongside
TypeScript
public endpoints constrained to project limitations (e.g., maximum 39-week counter for
Backend: Node.js, Express.js guests).
Integrated strict input validation and data sanitization layers directly at the routing level.
Frontend: React, Next.js (App Router), Tech Stack: Node.js, Express.js, MongoDB, Mongoose, Next.js, React, TypeScript, Axios, CSS
HTML5, CSS3, CSS Modules, TanStack Modules, Git, GitHub, Agile/Scrum.
Query, Responsive Design LINKS:
https://github.com/Oksana-Zalivan/pregnancy-tracker-backend
Tools and Technologies:REST API, Git, https://github.com/Oksana-Zalivan/pregnancy-tracker-frontend
GitHub, Pino, Postman, Environment
Variables
RENTAL CAR APP
Databases & ORM: MongoDB, Retail
Mongoose
A full-stack web application for a car rental company featuring a dynamic vehicle catalog,
Authentication & Security: JWT, robust server-side filtering, and a seamless booking experience.
Cookies, bcrypt Frontend Development:
Developed a dynamic, multipage user interface utilizing Next.js 15 (App Router), React, and
Validation & Middleware: Joi, TypeScript.
Celebrate Implemented an infinite pagination system ("Load More") utilizing the useInfiniteQuery hook
from TanStack Query for highly optimized, chunked data fetching.

LANGUAGES Integrated Axios for reliable client-side HTTP requests, handling data fetching for the
catalog and form submissions.
Built dynamic routing for individual vehicle pages (/catalog/[carId]), featuring detailed car
English (upper-intermediate)
specifications, features, and a functional rental submission form.
Integrated React Hot Toast to provide real-time, elegant success notifications upon
Ukrainian (Fluent) booking completion.
Designed scoped, pixel-perfect desktop layouts using CSS Modules, featuring a Hero
section with CTA and maintaining strict visual consistency with Figma mockups.
EDUCATION
Backend Development:
2025 - 2026 Architected custom RESTful API endpoints utilizing Node.js and Express.js to serve the vehicle
catalog, detailed car data, and handle rental form submissions.
Implemented complex server-side filtering algorithms allowing users to query cars by
IT SCHOOL GOIT
specific brand, exact rental price, and precise mileage ranges (from/to) simultaneously.
Configured database queries (MongoDB/Mongoose) to support efficient pagination that
FULLSTACK DEVELOPER
accurately synchronizes with active frontend filters.
Integrated strict input validation for the rental form endpoint, ensuring data integrity before
2023 - 2027 processing successful bookings.
Tech Stack: TypeScript, Next.js 15, React, Node.js, Express.js, MongoDB, Mongoose, TanStack
NATIONAL UNIVERSITY "KYIV AVIATION INSTITUTE"
Query, Axios, CSS Modules, React Hot Toast, Vercel, REST API, Figma, Git, GitHub.
LINK:
SOFTWARE ENGINEERING https://github.com/ArtemIlliushchenko/Retail/tree/main/retail