You will get Spring Boot microservices with Docker, API Gateway and CI/CD Pipline
Project details
A monolith that cannot scale is not just a technical problem. Every deployment causes downtime, every bug risks the whole system, and adding features gets slower every quarter.
This service delivers a fully designed Spring Boot microservices architecture where every service is independently deployable, fault-isolated, and cloud-ready from day one.
What you receive:
Independently deployable Spring Boot microservices
API Gateway configuration for unified service routing
Inter-service communication via REST and async messaging
Docker and Docker Compose setup for all services
Service discovery and load balancing configuration
CI/CD pipeline for automated build and deployment
Fault isolation keeping failures fully contained
Architecture documentation and deployment guide
Who this is for:
Teams migrating from a monolith, startups building a scalable system, and enterprises adding new service layers.
Based on real production experience leading a fintech leasing platform migration processing 2M+ business workflows, with measurable gains in deployment speed, fault isolation, scalability, and latency.
Message me with your current architecture before ordering to confirm the right package.
This service delivers a fully designed Spring Boot microservices architecture where every service is independently deployable, fault-isolated, and cloud-ready from day one.
What you receive:
Independently deployable Spring Boot microservices
API Gateway configuration for unified service routing
Inter-service communication via REST and async messaging
Docker and Docker Compose setup for all services
Service discovery and load balancing configuration
CI/CD pipeline for automated build and deployment
Fault isolation keeping failures fully contained
Architecture documentation and deployment guide
Who this is for:
Teams migrating from a monolith, startups building a scalable system, and enterprises adding new service layers.
Based on real production experience leading a fintech leasing platform migration processing 2M+ business workflows, with measurable gains in deployment speed, fault isolation, scalability, and latency.
Message me with your current architecture before ordering to confirm the right package.
Web Programming Project
API Development, API IntegrationProgramming Languages
JavaCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$300
|
Standard
$700
|
Advanced
$1,400
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 25 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
Frequently asked questions
About Waqas
Python AI Backend Engineer | AI Integration & RAG | Node.js | AWS
Lahore, Pakistan - 4:25 am local time
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 architecture or requirements, define service boundaries, design inter-service communication strategy, and confirm full scope before building begins.
Step 2
I build each service with fault isolation, configure Docker, API Gateway, and CI/CD, deliver via GitHub with full architecture documentation, and complete revisions.