With over a decade in the IT industry, I’ve built my career on delivering high-quality, scalable solutions — first as a QA Automation specialist, and now as a backend engineer passionate about designing robust APIs and microservices. My deep expertise in Java, Spring Boot, and MongoDB allows me to craft backend architectures that are both performant and maintainable. I thrive on solving complex engineering challenges, optimizing data flows, and ensuring every release meets the highest standards of quality and reliability. What sets me apart is my unique hybrid skill set — I bring the precision of a QA engineer, the problem-solving mindset of a developer, and hands-on experience in Generative AI. Leveraging tools like LangChain and AWS Bedrock, I’ve integrated LLMs such as Claude and Titan into backend systems, enabling AI-powered features for real-world applications. Career Highlights: • Backend Development: Java, Spring Boot, MongoDB, RESTful API design, microservices architecture. • Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD (Jenkins, Maven, Gradle). • Generative AI: LangChain workflows, AWS Bedrock integrations, enterprise AI feature development. • QA & Automation: Selenium, Cucumber, Rest-Assured, JMeter, Gatling; expertise in unit, integration, functional, and performance testing. • Cross-Functional Leadership: Collaborated with product, development, and QA teams to ensure quality and speed in Agile delivery cycles. I’m passionate about building backend systems that don’t just work — they scale, adapt, and innovate. Whether it’s designing microservices, integrating AI, or optimizing database performance, I bring a quality-first, solution-oriented approach to every project. Let’s connect if you’re building modern, intelligent backend solutions.