
Software Engineer - Experienced in working with web application projects based on Core Java, Spring frameworks.
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Mercedes Benz Research and Development, India
Java Backend developer
June 14, 2026 – Present
Cryptography-Implementation-Using-AES
May 31, 2023 – May 31, 2023
Repository contains logic to encrypt/decrypt values using AES-ECB technique
View ProjectSpring-Boot-Language-Translation
July 30, 2022 – July 30, 2022
Repository to demonstrate the handling of textual translations in Spring Boot framework
View ProjectSpring-Boot-Exception-Handler
July 17, 2021 – July 17, 2021
Repository to try out custom exception handling user Spring Annotations
View ProjectSimple-File-Handling
May 9, 2020 – May 9, 2020
Repository to demonstrate simple file handling in Spring Boot Application
View ProjectPull-Statistics
April 11, 2020 – April 11, 2020
Repository helps to pull statistics from a log file using Shell script
View ProjectSpring-OAuth2
October 13, 2019 – July 30, 2022
Repository provides sample implementation of Spring OAuth2 & its principles
View ProjectSpring-Boot-Admin
August 3, 2019 – July 30, 2022
Repository provides sample implementation of Spring's Management and Monitoring Tool (Spring Boot Admin)
View ProjectSpring-Boot-Hotel-Management-System
October 7, 2018 – July 30, 2022
Basic Hotel Management REST APIs representing CRUD operations. Support to containerized deployment (via Docker)
View ProjectSpring-Aspect-Oriented-Programming
March 1, 2017 – February 12, 2023
Basics of Spring AOP
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on Java and Spring Boot, aligning well with a Java Backend developer role. However, the projects are all personal and relatively basic, indicating a potential lack of experience in collaborative, large-scale enterprise environments. The single professional experience entry is current but lacks detail on responsibilities or achievements, making it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data focuses solely on technical projects and employment history.