BACKEND

Spring Boot

Enterprise-grade Java backends built for reliability and scale

6+ Years Experience
20+ Projects Delivered
Available for new projects

$ cat services.json

Enterprise Application Development

Build robust Spring Boot applications for complex enterprise requirements.

Deliverables:
  • Microservices architecture design
  • RESTful API development
  • Spring Security implementation
  • Database integration with Spring Data
  • Enterprise integration patterns

Legacy System Modernization

Modernize legacy Java applications to Spring Boot microservices.

Deliverables:
  • Architecture assessment
  • Migration strategy
  • Incremental modernization
  • Containerization
  • Cloud deployment

Spring Boot + AI Integration

Integrate AI/ML capabilities into existing Spring Boot systems.

Deliverables:
  • LLM API integration
  • Python service orchestration
  • Async processing setup
  • Hybrid architecture design

$ man spring-boot

My Spring Boot Expertise

I’ve built Spring Boot applications across the full spectrum:

Spring Core

  • Dependency injection and IoC
  • AOP for cross-cutting concerns
  • Event-driven architecture

Spring Web

  • RESTful API design
  • WebFlux for reactive applications
  • API versioning strategies

Spring Security

  • OAuth2 and JWT authentication
  • Role-based access control
  • Method-level security

Spring Data

  • JPA/Hibernate optimization
  • Multi-database support
  • Query optimization

Spring Boot + Modern Architecture

I specialize in integrating Spring Boot with modern patterns:

  • Microservices: Service decomposition, API gateways
  • Event-Driven: Kafka, RabbitMQ integration
  • CQRS: Command-query separation patterns
  • Cloud-Native: Kubernetes, containerization
  • AI Integration: Calling Python services, LLM APIs

$ cat README.md

Why Spring Boot for Enterprise?

Spring Boot remains the gold standard for enterprise Java development:

  • Maturity: 20+ years of Spring ecosystem evolution
  • Enterprise Features: Security, transactions, integration patterns
  • Scalability: Proven at massive scale
  • Ecosystem: Vast library and tool support
  • Team Familiarity: Large talent pool

My Spring Boot Stack

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// Typical Spring Boot Service Structure
@SpringBootApplication
@EnableAsync
@EnableScheduling
public class EnterpriseApplication {
    public static void main(String[] args) {
        SpringApplication.run(EnterpriseApplication.class, args);
    }
}

@RestController
@RequestMapping("/api/v1/documents")
@RequiredArgsConstructor
public class DocumentController {
    
    private final DocumentService documentService;
    private final AIAnalysisService aiService;
    
    @PostMapping("/analyze")
    @PreAuthorize("hasRole('ANALYST')")
    public ResponseEntity<AnalysisResult> analyzeDocument(
            @Valid @RequestBody DocumentRequest request,
            @AuthenticationPrincipal UserDetails user) {
        
        Document doc = documentService.getDocument(request.getDocumentId());
        AnalysisResult result = aiService.analyze(doc, user.getContext());
        
        return ResponseEntity.ok(result);
    }
}

Spring Boot Technologies I Use

CategoryTechnologies
CoreSpring Boot 3.x, Spring Framework 6.x
WebSpring MVC, WebFlux, OpenAPI/Swagger
SecuritySpring Security, OAuth2, JWT, Keycloak
DataSpring Data JPA, Hibernate, QueryDSL
MessagingKafka, RabbitMQ, Spring Cloud Stream
CloudSpring Cloud, AWS SDK, GCP client
TestingJUnit 5, Mockito, Testcontainers
BuildMaven, Gradle, Docker, Kubernetes

Integration Patterns

I specialize in integrating Spring Boot with:

  • Python AI Services: REST, gRPC, async patterns
  • Message Queues: Kafka, RabbitMQ for event-driven architectures
  • Databases: PostgreSQL, MongoDB, Redis
  • External APIs: Third-party integrations, API gateways
  • Cloud Services: AWS, GCP native service integration

Experience:

Case Studies: Real-time NEMT Dispatch | Hospital ERP System | Enterprise RAG System

Related Technologies: Java, Kafka, PostgreSQL, Docker/Kubernetes

$ ls -la projects/

IP Management Platform

@ Anaqua (RightHub)
Challenge:

Build robust backend for enterprise IP management with complex business rules and integrations.

Solution:

Spring Boot microservices with domain-driven design, comprehensive API layer, and integration with AI services.

Result:

Stable, maintainable backend that supported company growth and acquisition.

NEMT Dispatch System

@ OPERR Technologies
Challenge:

Build real-time dispatch system for non-emergency medical transportation in NYC.

Solution:

Spring Boot with Spring Security, Kafka for real-time events, GPS tracking integration, and billing workflows.

Result:

First licensed dispatch provider in NYC, handling thousands of daily trips.

Hospital Management System

@ Intoiit Bangladesh
Challenge:

Build comprehensive ERP for hospital operations including patient records, scheduling, and pharmacy.

Solution:

Spring Boot backend with Spring Security for HIPAA-like compliance, RESTful APIs, and PostgreSQL.

Result:

Deployed at Rangpur CMH, reduced manual tasks by 60%.

$ diff me competitors/

+ 6+ years of production Spring Boot experience
+ Enterprise experience—security, compliance, scale
+ Modern architecture—microservices, cloud-native, AI integration
+ Full stack capability—can work across Java and Python ecosystems
+ Focus on maintainability—clean code, documentation, testing

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