Нікіта

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

SUMMARY
As a Backend Java Developer with 2 years of commercial experience, I have a solid understanding of microservices
architecture and building RESTful applications using Spring Boot. Passionate about working in Agile environments,
I thrive on developing scalable solutions and integrating AI capabilities (OpenAI API) into business logic.
My strong problem-solving skills and adaptability make me well-suited to work in cross-functional teams and con-
tribute to code reviews. Whether it’s implementing complex LLM-based agents or optimizing database performance,
I am committed to delivering clean, testable code that meets high industry standards.
My main stack: Java Core, Spring (Boot, Security, Data), Hibernate, PostgreSQL/MongoDB, OpenAI API, Docker,
AWS, RabbitMQ.

SKILLS

Languages and Core: Java (8, 11, 17, 21), OOP, SOLID, Clean Code.
Frameworks: Spring Boot, Spring Data JPA, Spring Security, Spring Web (REST).
Databases: PostgreSQL, MongoDB, Hibernate (ORM).
AI and Integrations: OpenAI API (GPT Models), Prompt Engineering, AI Agents implementation.
Cloud and DevOps: AWS, Docker, Docker Compose.
Messaging: RabbitMQ, ActiveMQ.
Testing: JUnit, Mockito.
Tools and Methodologies: Git, GitHub, Maven/Gradle, Microservices Architecture, Agile/Scrum.
Language: English (B2), Ukrainian (Native)

EXPERIENCE
WhileTrue March 2025 – Present
Java Software Engineer Remote

Responsibilities:
• Designed and implemented complex business logic and RESTful APIs, integrating Generative AI capabilities
(OpenAI API) to create intelligent user agents.
• Managed database schema evolution using Liquibase for PostgreSQL and maintained data consistency in Mon-
goDB environments.
• Configured and supported cloud infrastructure on AWS, including deployment automation via CI/CD pipelines.
• Actively contributed to the system architecture design, focusing on scalability and fault tolerance.
• Conducted regular code reviews, ensuring adherence to code quality standards and mentoring team members.

Achievements:
• Successfully delivered a critical AI-powered feature, significantly enhancing user engagement and automating
support workflows.
• Optimized PostgreSQL query performance and MongoDB interactions, reducing response times for high-load
endpoints.
• Consistently delivered scalable backend features that directly addressed critical business requirements and im-
proved system functionality.
EPAM August 2024 – February 2025
Java Developer Remote

Responsibilities:
• Developed and maintained scalable Microservices Architecture using Java and Spring Boot, ensuring modularity
and high availability.
• Implemented asynchronous communication between services using Message Brokers (RabbitMQ, ActiveMQ) to
handle high-throughput data processing.
• Managed data persistence across relational (PostgreSQL) and NoSQL (MongoDB) databases, optimizing com-
plex queries via Hibernate/JPA.
• Designed and secured RESTful APIs, implementing robust request handling and authentication mechanisms.
• Containerized microservices using Docker to streamline the CI/CD pipeline and ensure consistent deployment
environments.

Achievements:
• Successfully integrated RabbitMQ, significantly reducing system latency and decoupling critical backend services.
• Optimized database performance for high-volume data, reducing query execution time by utilizing PostgreSQL
indexing and MongoDB aggregation.
• Enhanced system stability by implementing comprehensive unit and integration testing strategies.
ShPlusPlus January 2024 – July 2024
Java Developer Remote

Responsibilities:
• Designed and implemented the core backend logic for processing, executing, and validating user-submitted code
using Java and Spring Boot.
• Developed complex algorithmic solutions and validation mechanisms for logic-based challenges.
• Designed and optimized PostgreSQL database schemas to store coding tasks, user solutions, and automated test
results.
• Containerized the application using Docker to ensure consistent environments across development and production
stages.
• Integrated logging and monitoring tools to track system performance and debug runtime errors effectively.

Achievements:
• Successfully built a fault-tolerant code execution engine capable of automatically grading user submissions.
• Reduced deployment time and eliminated environment-specific bugs by introducing Docker containerization.
• Ensured high system reliability and accuracy of task validation through comprehensive Unit and Integration
testing (JUnit/Mockito).