Inez Gajewska

Inez Gajewska is a senior Java developer based in Warsaw, Poland, with over six years of experience in backend software engineering. She specializes in building scalable and resilient systems using Java and Spring Boot, including microservices and REST APIs, while also integrating AI and large language model technologies into backend architectures. Her work focuses on enterprise integrations, managing SQL databases, maintaining CI/CD pipelines with Jenkins and Docker, and mentoring junior developers.

Her current role at PSE Innowacje involves architecting and developing a highly scalable internal system with Java 21 and Spring Boot, focused on resilient microservices and REST APIs. She integrates AI technologies, LLM APIs, and intelligent agents into modern backend architectures to automate complex organizational processes. Additionally, she manages data persistence using Hibernate/JPA, SQL, and Liquibase, and maintains code quality through Unit/Integration testing with JUnit and Mockito.

She holds certifications from AI Devs 3 Reloaded covering LLM APIs, multimodal AI, AI agents, and AI integrations, as well as AI Devs 2 for connecting GPT-4 with application logic. She also completed training on web application security and the S-SDLC process through Sucuritum in 2021. These credentials support her work in integrating advanced AI technologies into backend architectures.

Her technical skills include Java versions 8, 11, 17, and 21, along with frameworks like Spring Boot and Hibernate. She is proficient in managing databases such as PostgreSQL, MySQL, MSSQL, and Oracle DB, and uses tools like Jenkins and Docker for DevOps and CI/CD workflows. Her expertise also extends to cloud platforms like MS Azure and Google Cloud.

She has experience developing backend applications and robust REST/SOAP APIs to integrate complex enterprise systems, including SharePoint and external data providers. During her time as a regular backend developer, she managed SQL databases like MySQL and MSSQL to support enterprise-scale internal tooling and data efficiency. She also led the full software development lifecycle from gathering requirements to Agile/Scrum delivery.

She previously engineered backend logic and data-visualization components for voice assistant applications using Google Cloud technologies. This role involved creating custom backend components that supported enterprise-scale internal tooling and data efficiency. Her work spanned from gathering requirements and building POCs to active code reviews within an Agile/Scrum framework.

She actively brings AI and LLMs into daily engineering practice to streamline architecture and elevate code quality. Her approach involves translating complex business logic into precise technical specifications with stakeholders while maintaining SOLID principles. She also focuses on automating CI/CD workflows to ensure efficient deployment and maintenance of her systems.

The official website of Inez Gajewska is inezgajewska.com.