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Full Stack Engineer with 2+ years in Java, Spring Boot & AI
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Assessing your cultural and operational fit
Java Full Stack Engineer with 2.5+ years at EY GDS, specializing in backend engineering — building production-grade Spring Boot microservices and REST APIs for enterprise platforms. Proven track record in layered MVC architecture, JWT authentication, JPA/Hibernate data access, and DB-level pagination. Experienced in ReactJS frontend development and frontend-backend integration for client-facing enterprise applications. Hands-on with Docker, CI/CD pipelines, and Azure deployments. Experienced in Agile delivery across large-scale enterprise environments.
Netaji Subhash Engineering College, Kolkata
B.E. · Electronics & Communication Engineering
August 1, 2023 – Present
EY GDS
Backend Engineer (AI Platform Support)
January 1, 2025 – Present
India
EY GDS
Associate Software Engineer
January 1, 2024 – Present
India
EY GDS
Java Full Stack Engineer
January 1, 2024 – December 1, 2024
India
AI-Powered SDLC Automation Platform
January 1, 2025 – June 1, 2026
Built a RAG-based knowledge assistant (LangChain, ChromaDB, Azure OpenAI) across 350+ enterprise documents achieving ~40% faster contextual search; implemented CI/CD workflows for automated agent deployment and sonar report generation.
Enterprise Workforce Management System
January 1, 2024 – December 31, 2024
Designed RESTful APIs with layered MVC, DTO separation, and DB-level pagination with dynamic multi-filter JPA queries; secured endpoints with Spring Security, JWT, and role-based access control. Containerized with Docker; validated service logic using JUnit and Mockito; documented all APIs with Swagger (OpenAPI).
EY AI Engineering Bronze
Unknown
June 1, 2026 – Present
Microsoft Azure AI-900
Unknown
June 1, 2026 – Present
IBM AI Essentials V2
Unknown
June 1, 2026 – Present
IBM Data Analytics Essentials
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked exclusively at EY GDS, which provides a consistent professional environment but limits exposure to diverse organizational cultures. The projects demonstrate a focus on enterprise solutions and AI integration, aligning with roles requiring structured development and innovation. The breadth of skills across full-stack development, DevOps, and AI indicates a willingness to learn and adapt, which is positive for cultural fit in dynamic environments. However, the lack of diverse company experience might suggest a need for adaptation to new organizational structures.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex enterprise systems, suggesting good problem-solving and operational skills. The focus on reducing API error rates and improving UI reusability points to a quality-oriented approach. Experience in Agile delivery is mentioned, which is a positive indicator for team collaboration and adaptability.