Yurii

Yurii Shevchenko

Java Developer | Cloud Computing Enthusiast | AI Integration Specialist
Email: [відкрити контакти](див. вище в блоці «контактна інформація») | Phone: [відкрити контакти](див. вище в блоці «контактна інформація») | Location: Kyiv Ukraine

Summary

Motivated Java Developer with experience in backend development, cloud technology
integration (AWS, GCP), and AI tools implementation (ChatGPT, GitHub Copilot) into
development workflows. Proficient in Java, Spring, microservices architecture, and
testing. Experienced in working in Agile teams on projects for retail, healthcare, and
internal cloud-based solutions.

Key Skills

Programming Languages:

Java 8/11/17, SQL, JavaScript, HTML, CSS

Frameworks and Libraries:

Spring (Boot, MVC, Data, Security), Hibernate, JPA, Lombok, MapStruct, Thymeleaf,
FreeMarker

Testing Tools:

JUnit 5, Mockito, AssertJ, Cucumber
Cloud Technologies:

AWS: Lambda, API Gateway, SQS, SES, DynamoDB, S3, EC2, EventBridge

GCP: Firestore, Pub/Sub, Spanner, Cloud Storage

DevOps Tools:

Docker, Kubernetes, Git/GitLab, CI/CD

Databases:

MySQL, PostgreSQL, Oracle RDBMS, MongoDB
AI Integration:

ChatGPT (for idea generation, code refactoring), GitHub Copilot (code autocompletion,
optimization)

Methodologies and Approaches:

Agile (Scrum, Kanban), TDD, Clean Code, SOLID, REST API, Microservices

Work Experience
Junior Software Engineer

EPAM Systems, Inc. (February 2025 — May 2025)
Project: MAGIC DMS & BONUS

Migrated code from Java 7 to Java 17 and adapted it to the Spring Framework
and microservices architecture.

Optimized Oracle database queries, replacing outdated JDBC with Spring Data
JPA.

Eliminated code duplication and fixed bugs based on SonarQube
recommendations.

Increased test coverage by writing unit tests using JUnit and Mockito.

Technologies: Java 17, Spring Boot 3, Spring Data JPA, Lombok, REST API, Docker,
GitLab

Junior Developer

EPAM Systems, Inc. (August 2024 — January 2025)
Project: ACM UI/UX Redesign (Life Sciences & Healthcare)

Developed new features and fixed bugs in existing project functionality.

Utilized Google Cloud Platform (Firestore, Pub/Sub, Spanner) for microservices
implementation.

Wrote unit and integration tests to ensure code reliability.

Technologies: Java 17, Spring Boot 3, MapStruct, GCP Firestore, GCP Pub/Sub, GCP
Spanner

Cloud Application Developer

EPAM Systems, Inc. (April 2024 — August 2024)
Project: AI Integration into Educational Platforms

Developed microservices for a gym management application using AWS
Lambda.

Implemented weekly report generation and email sending via AWS SES and
EventBridge.

Migrated server logic from AWS Lambda to Spring Boot.

Configured container communication via AWS SQS within Kubernetes.

Technologies: Java 17, AWS Lambda, API Gateway, DynamoDB, SQS, SES,
Kubernetes

Java Developer

EPAM Systems, Inc. (August 2023 — March 2024)
Project: IMailHR (EPAM Internal Project)

Developed REST API for managing templates and user data processing.

Covered code with unit tests using JUnit 5 and Mockito.
Integrated AI tools (ChatGPT, Copilot) to optimize development workflows.

Technologies: Spring Boot, REST API, Apache POI, Drools, OpenAPI (Swagger),
GitHub Copilot

Java Developer (Intern)

Lab Projects (2022)
1. Cash Machine System

Implemented role-based functionality (Cashier, Senior Cashier, Commodity
Expert).

Created REST API and set up Spring Security for authentication.

Used FreeMarker as a template engine for rendering data.

2. User Database Management Application
Developed CRUD functionality with Spring Boot and Docker containers.

Optimized database interactions using Hibernate with MySQL.
Technologies: Spring Boot, MVC, Thymeleaf, Docker, MySQL

Education

National Technical University
Degree: Bachelor’s in Computer Science

Additional Education

Python Developer – CBS course (2025)
PostgreSQL - CBS course (2025)

Deep Dive Into Serverless: AWS Sandbox Course — AWS Training (2024)

Spring Framework: Beginner to Guru — Udemy (2023)

Generative AI Fundamentals — Coursera (2023)

Projects

IMailHR: Platform for automating email campaigns (Spring Boot, AI integration).

Cash Machine System: Application for managing cashier operations (MVC,
REST API).

Gym Management App: Cloud-based application using AWS Lambda and
Kubernetes.

Personal Qualities
Responsibility and attention to detail

Quick learner and adaptable to new technologies

Strong communication and teamwork skills

Languages

Ukrainian — Native

English — Intermediate (reading technical documentation, participating in
meetings)