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Vaibhav LadVL
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Vaibhav Lad

@vaibhavlad

Java backend developer building scalable Spring Boot microservices and REST APIs.

India
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What I'm looking for

I’m looking for a Java/Spring Boot backend role where I can build scalable microservices, design clean REST APIs, and deliver event-driven integrations—growing with strong engineering mentorship and practical cloud practices.

I’m a Java Backend Developer focused on scalable REST APIs and distributed systems built with Spring Boot and microservices architecture. I’ve worked on service discovery, centralized configuration, and asynchronous messaging with RabbitMQ, while grounding my work in strong OOP and enterprise-grade API design.

In my Fitness Microservice project, I architected a production-style microservices backend with an Activity Service, AI Service, and API Gateway using Spring Cloud Eureka and Spring Cloud Config. I implemented an event-driven pipeline with RabbitMQ and integrated the Google Gemini AI API to generate structured fitness recommendations from JSON responses.

I also built a Student Management System with RESTful CRUD APIs, server-side pagination, dynamic sorting, and consistent responses via centralized exception handling (@ControllerAdvice). I secured endpoints using Spring Security (HTTP Basic Authentication and BCrypt password encryption), containerized with Docker, and documented APIs with Swagger/OpenAPI 3 for smooth integration and testing.

Experience

Work history, roles, and key accomplishments

SS

Student Management System

Student Management System

Developed a layered backend REST API for student, department, course, subject, and user CRUD operations with pagination, sorting, DTOs, and centralized exception handling. Secured endpoints with Spring Security (HTTP Basic + BCrypt) and deployed the Dockerized app with Swagger/OpenAPI documentation.

FB

Fitness Microservice

Fitness Microservice Backend

Architected a production-style fitness microservice backend with a User Service, Activity Service, AI Service, API Gateway, Eureka Discovery, and centralized config. Built an asynchronous RabbitMQ event pipeline to trigger Gemini AI analysis and persist user and recommendation data across PostgreSQL and MongoDB.

Education

Degrees, certifications, and relevant coursework

SE

Shree L.R. Tiwari College of Engineering

Bachelor of Engineering (B.E.), Electronics & Telecommunication (Cyber Security Honours)

2022 -

Grade: CGPA: 8.36

Pursuing B.E. (Honours in Cyber Security) in Electronics & Telecommunication with a current CGPA of 8.36.

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