You will get Java Spring Boot REST API backend with PostgreSQL and JWT

Waqas A.Status: Offline
Waqas A. Waqas A.

Let a pro handle the details

Buy Custom Website Programming services from Waqas, priced and ready to go.
Waqas A.Status: Offline
Waqas A. Waqas A.

Let a pro handle the details

Buy Custom Website Programming services from Waqas, priced and ready to go.

Project details

Your backend should handle real traffic without slowing down or breaking when your product scales. That is exactly what this service delivers.
You will receive a production-grade Java Spring Boot REST API built with clean architecture, secure JWT authentication, and PostgreSQL database integration. Every endpoint is validated, error-handled, and documented with Swagger/OpenAPI, ready for any frontend or mobile client from day one.
What you receive:

Spring Boot REST API with maintainable, structured codebase
JWT authentication with role-based access control
PostgreSQL schema design optimized for performance
Redis caching for high-frequency data endpoints
Full Swagger/OpenAPI documentation
Docker configuration for containerized deployment
Unit tests covering core business logic

Who this is for:
Startups building their first backend, SaaS companies needing a reliable API layer, and enterprise teams adding new services.
Built on 13 years of Java backend engineering across fintech, energy, and enterprise domains. Every deliverable is production-grade, not demo code.
Message me with your requirements before ordering to confirm the right package.
Programming Languages
Java
Coding Expertise
Cross Browser & Device Compatibility, Performance Optimization
What's included
Service Tiers Starter
$150
Standard
$350
Advanced
$700
Delivery Time 5 days 10 days 18 days
Number of Revisions
123
Design Customization
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Content Upload
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Responsive Design
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Source Code
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Frequently asked questions

Waqas A.Status: Offline

About Waqas

Waqas A.Status: Offline
Python AI Backend Engineer | AI Integration & RAG | Node.js | AWS
Lahore, Pakistan - 2:51 am local time
Most Python and Node.js backends I get brought in to fix have the same story. The AI was added as a demo feature, the AWS infrastructure was set up fast, and neither was built to hold up under real production load. I work the other way around, backend first, then AI wired in properly.

I am a backend engineer with 13 years of experience building systems where downtime was not an option. My recent focus has shifted heavily toward AI integration, RAG pipelines, LLM-powered workflows, and agentic systems built on top of solid backend foundations, not bolted on as an afterthought.

A few things I have shipped recently:
Delivered 24/7 AI-powered patient consultations, automated ePrescriptions, and intelligent appointment routing on a live telehealth platform, built on Python FastAPI, AWS Lambda, DynamoDB, Step Functions, and pgvector with zero infrastructure management overhead.
Built a full RAG pipeline with Qdrant vector storage, metadata filtering, RBAC retrieval, FastAPI endpoints, and a RAGAS evaluation layer for a local-first enterprise AI platform where sensitive documents never leave the client infrastructure.

Led the AWS cloud migration and re-architecture for a US nonprofit e-learning platform supporting 10,000 plus concurrent users at 99.9% uptime, cutting infrastructure costs by 30% through containerized ECS deployments, automated CI/CD, and full CloudWatch observability.
Deployed a live Python backend on Google Cloud for a published Android game on Amazon, handling unpredictable traffic spikes with auto-scaling infrastructure and zero manual intervention during peak play periods.

Automated 90% of customer interactions and cut manual workload by 40% for a live cab booking platform handling 500 plus daily bookings across 5 plus languages, built on NestJS, PostgreSQL, TypeORM, and AWS.

Built the NestJS and GraphQL backend for Financial Four Square, replacing manual financial reporting with real-time dashboards across 100 plus business portfolios deployed on AWS with CloudFormation and Docker.

What your project gets:
➜ Python backend development with FastAPI, Django, and Flask
➜ AI integration using LangChain, LangGraph, OpenAI API, and Claude
➜ RAG pipelines, vector databases, and LLM-powered workflows
➜ Node.js and NestJS backend development with REST and GraphQL APIs
➜ AWS Serverless architecture including Lambda, Step Functions, and API Gateway
➜ Real-time data pipelines and event-driven architecture at production scale
➜ Docker, CI/CD pipelines, and production observability
➜ Backend performance tuning and scalability improvements

Technologies I work with:
➛ AI and LLM: LangChain, LangGraph, OpenAI API, Claude, RAG pipelines, pgvector, Qdrant, ChromaDB, Pinecone, Prompt Engineering
➛ Languages: Python, TypeScript, JavaScript
➛ Frameworks: FastAPI, Django, Flask, NestJS, Express
➛ Messaging: AWS SQS, AWS SNS, RabbitMQ, MQTT
➛ Databases: PostgreSQL, MongoDB, DynamoDB, Redis, MySQL
➛ Cloud: AWS including Lambda, EC2, RDS, S3, API Gateway, Step Functions, Cognito, CloudWatch, GCP
➛ DevOps: Docker, CI/CD, GitHub Actions, Serverless Framework
➛ API: REST, GraphQL, WebSockets, Swagger

Why clients hire again:
➜ 13 years building backend systems that run in production, not just in demos
➜ AI integration built on top of solid backend fundamentals, not bolted on as an afterthought
➜ Real Python and Node.js experience across healthcare, fintech, energy, and enterprise platforms
➜ Production-scale RAG pipeline and AWS Serverless experience most backend developers do not have
➜ Clean architecture, full documentation, and proper handover every time
➜ No ghost communication, you always know where your project stands
➜ I think in systems, not just features, your codebase stays easier to maintain after I leave than before I arrived

Message me with your biggest backend or AI challenge. I will reply within 12 hours with exactly how I would approach it and a clear plan of action.

Steps for completing your project

After purchasing the project, send requirements so Waqas can start the project.

Delivery time starts when Waqas receives requirements from you.

Waqas works on your project following the steps below.

Revisions may occur after the delivery date.

Step 1

I review your requirements, confirm API structure, database schema, and authentication design, and clarify any open questions before writing a single line of code.

Step 2

I build, test, and document the full backend, deliver via GitHub with Swagger docs and deployment instructions, and handle all revisions within the agreed window.

Review the work, release payment, and leave feedback to Waqas.