You will get Java Spring Boot backend performance audit and optimization
Project details
Is your Java backend getting slower as your data grows? Paying for infrastructure that should not need scaling yet? The problem is almost never the server. It is the code, the queries, or the caching strategy.
This service delivers a thorough audit and hands-on optimization of your Spring Boot backend targeting the exact bottlenecks costing you performance.
What you receive:
Full Spring Boot code review and architecture assessment
PostgreSQL and MySQL query analysis, indexing, & optimization
Redis caching strategy audit and implementation
API response time profiling and bottleneck identification
Spring Boot configuration tuning for production performance
Written audit report with prioritized actionable fixes
Documentation of all changes for your team
Who this is for:
Java backend teams experiencing degradation under load, SaaS companies with growing API slowdowns, & enterprises preparing to scale without over-provisioning.
Based on 13 years of production Java engineering across systems handling millions of daily transactions under strict SLA requirements.
Share your performance issues and repo access before ordering to confirm the right package.
This service delivers a thorough audit and hands-on optimization of your Spring Boot backend targeting the exact bottlenecks costing you performance.
What you receive:
Full Spring Boot code review and architecture assessment
PostgreSQL and MySQL query analysis, indexing, & optimization
Redis caching strategy audit and implementation
API response time profiling and bottleneck identification
Spring Boot configuration tuning for production performance
Written audit report with prioritized actionable fixes
Documentation of all changes for your team
Who this is for:
Java backend teams experiencing degradation under load, SaaS companies with growing API slowdowns, & enterprises preparing to scale without over-provisioning.
Based on 13 years of production Java engineering across systems handling millions of daily transactions under strict SLA requirements.
Share your performance issues and repo access before ordering to confirm the right package.
Programming Languages
JavaCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 4 days | 10 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Waqas
Python AI Backend Engineer | AI Integration & RAG | Node.js | AWS
Lahore, Pakistan - 12:55 pm 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 codebase, database queries, caching setup, and logs to identify all performance bottlenecks, then deliver a prioritized audit report covering every issue with clear recommendations.
Step 2
For Standard and Advanced, I implement agreed fixes directly in your codebase, document every change, and deliver via pull request with a complete optimization summary.