Java Backend developer with 2+ years in Spring Boot & Microservices
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Assessing your cultural and operational fit
Java Backend Developer with 3 years of experience at Tata Consultancy Services, specializing in Core Java (8/11/17), Spring Boot, Microservices, Hibernate, RESTful APIs, and JUnit. Delivered enterprise insurance claim processing systems - automating 30% of manual workflows, achieving 40% faster query execution, and maintaining 99.5% production uptime. Actively upskilling in Spring AI, RAG, and LLM integration.
Ballari Institute of Technology & Management
B.E. · Electronics & Communication Engineering
N/A – June 30, 2023
Tata Consultancy Services Limited
Java Backend Developer
August 1, 2023 – Present
Bengaluru, Karnataka, India
AI Document Q&A Service
January 1, 2025 – Present
Built end-to-end RAG (Retrieval Augmented Generation) service using Spring AI – users upload PDFs and query them in natural language via REST API. Implemented document ingestion pipeline: chunked PDFs into passages, generated embeddings via OpenAI API, stored vectors in PostgreSQL (pgvector) for semantic similarity search. Secured endpoints with JWT and Spring Security; containerized with Docker Compose; achieved 75% JUnit integration test coverage.
View ProjectAWS Certified Developer - Associate
Amazon Web Services
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services and personal project involving AI integration demonstrate adaptability and a willingness to learn new technologies. The focus on efficiency, automation, and robust testing aligns with best practices in many tech cultures. The AWS certification further indicates a commitment to professional development. The diversity of skills (backend, DevOps, AI/ML integration) suggests a broad technical interest, which can be beneficial for team collaboration and innovation. However, without specific psychometric test results, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's resume highlights successful project delivery in Agile sprints and a focus on automating workflows, suggesting good operational fit and ability to work in a structured development environment. The description of reducing production defects and improving efficiency indicates a quality-oriented and problem-solving mindset. However, without specific psychometric or English test results, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.