Tell us about your experience in Java development over the last 5-6 years, and the evolution with the application of AI.

Over the past 5-6 years, my experience in Java development has included working with modern versions of Java (from Java 8 and above), where lambda expressions, Stream API, modules, and improvements in parallelism and performance were actively used. In projects, I applied the Spring Framework (especially Spring Boot) to create microservices, which accelerated development and simplified scaling.

With the emergence and development of AI, I integrated machine learning and natural language processing into Java applications using libraries and services such as TensorFlow Java API, Deeplearning4j, as well as REST APIs of external AI services. This enabled automation of data analysis, predictions, and user query processing.

The evolution in AI application manifested in a transition from simple rules and static logic to adaptive systems with elements of intelligence, which improved the quality and efficiency of business decisions implemented in Java.