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You will get existing SpringBoot Application with AWS Lambda support

Project details
The output will be a SpringBoot application that can easily communicate with the AWS lambda environment without migrating the existing SpringBoot project. It is possible to add aws lambda support to some parts or all of the application. These changes include adding AWS Lambda support, database configuration changes and other public URL configurations. This way it saves a lot of time and cost
Programming Languages
JavaCoding Expertise
Performance OptimizationWhat's included
| Service Tiers |
Starter
$250
|
Standard
$400
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 5 days |
Number of Revisions | 3 | 3 | 2 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
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RK
Raya K.
Oct 8, 2024
Senior Full Stack Java Developer Needed
MM
MANOJ M.
Jun 11, 2024
Sr. Java Developer
RL
Ram L.
Jun 9, 2024
Java expert who can write!
DW
Dan W.
Feb 16, 2024
Java Developers, Provide feedback on a new AI-enabled extension for IntelliJ
Unni did excellent work! Trustworthy and capable. Great communication.
VO
Val O.
Feb 7, 2024
2 Hr Consultation for Experienced Backend Developer
Demonstrated thorough understanding of backend development through his architecture proposal.
About Unni
Java AI Architect | Spring Boot | Legacy Modernization | Performance
82%
Job Success
Bangalore, India - 8:46 am local time
24 years of Java backend experience. 150+ completed Upwork projects, 150+ five-star reviews, 3,000+ hours delivered, $100K+ earned on this platform.
Trusted by: FirstTennessee (Fortune 500) · American Express · EDB Norway · ICICI Bank
I've helped a Fortune 500 banking client cut API response times significantly through JVM and query tuning, and rebuilt legacy monoliths into scalable Spring Boot microservices for enterprise clients across the US and EU.
What I Do Best
Area What that means for you
Java Backend Development: Spring Boot, Quarkus, microservices, REST APIs — 20+ years hands-on
Legacy Modernization: Migrating aging Java monoliths to modern, cloud-ready Spring Boot / Quarkus architectures
Performance Tuning: JVM optimization, query tuning, caching strategies for high-load systems
AI Integration for Java: LangChain4J, RAG pipelines, LLM agents, enterprise AI APIs
Complex Integrations: WebSocket, WebRTC, banking and financial-services APIs
Cloud & Containers: Docker, Kubernetes, AWS (Lambda, DynamoDB, Amplify)
Fullstack (when needed): JavaScript, React, HTML5
AI for Java Applications
I build production AI capabilities directly into Java backends — not prototypes, systems clients can ship:
LLM integration and orchestration (LangChain4J)
Retrieval-Augmented Generation (RAG) pipelines
AI agents and enterprise AI API integration
LLM observability — I created TraceLM, an open-source Java agent for monitoring LLM calls in production, born out of real debugging pain on enterprise projects
Core Technologies
Java & Frameworks: Java 8/11/17, Spring Boot, Quarkus, Spring Framework, JPA/Hibernate, REST APIs, GraphQL, Microservices
AI & LLM: LangChain4J, RAG, LLM Agents, Enterprise AI Integration
Infrastructure: Docker, Kubernetes, AWS, CI/CD
Fullstack: JavaScript, React, HTML5
Specialized: WebSocket, WebRTC
How I Work
Daily async updates via Slack or Upwork
Weekly sync calls when useful
4+ hours overlap with US/EU time zones
First response within 4 working hours
I flag risks early rather than let them surface as surprises
Have a legacy Java system that needs modernizing, or want to add real AI capability to your product? Message me with your project details — I'll respond within 4 hours and can start with a quick technical assessment.
Steps for completing your project
After purchasing the project, send requirements so Unni can start the project.
Delivery time starts when Unni receives requirements from you.
Unni works on your project following the steps below.
Revisions may occur after the delivery date.
Add AWS Lambda support to the existing SpringBoot project