You will get AWS Multi-Agent Orchestrator | Enterprise AI Workflow Automation

4.7

Let a pro handle the details

Buy Other AI & Machine Learning services from Rajesh, priced and ready to go.
4.7

Let a pro handle the details

Buy Other AI & Machine Learning services from Rajesh, priced and ready to go.

Project details

I help CTOs, product leaders, and founders design and build AWS Multi-Agent Orchestration solutions that automate complex workflows and scale seamlessly. With proven expertise as an AWS Certified Developer – Associate, I specialize in leveraging AWS services like Step Functions, Lambda, SageMaker, Bedrock, DynamoDB, and API Gateway to deliver production-ready, intelligent systems.

Whether you’re in fintech (loan decision pipelines), healthcare (data orchestration & compliance), or SaaS (personalized recommendations & automation), I provide end-to-end orchestration that saves costs, improves efficiency, and accelerates innovation.

Each project includes clear architecture design, hands-on implementation, rigorous testing with real or synthetic data, CI/CD deployment, and documentation. I ensure solutions are not only technically sound, but aligned with your business outcomes.

If you need scalable, intelligent, and secure orchestration in AWS — I’ll deliver a solution that’s ready for production and future growth.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software Maintenance
AI Tools
Amazon SageMaker, Keras, MLflow, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$200
Standard
$1,000
Advanced
$2,500
Delivery Time 3 days 10 days 21 days
Number of Revisions
12
AI Model Integration
-
Detailed Code Comments
Knowledge Graph
-
-
Model Documentation
Ontology
-
-
Source Code
-
Taxonomy
-
-

Frequently asked questions

4.7
29 reviews
83% Complete
10% Complete
3% Complete
1% Complete
(0)
3% Complete

OS

Omer S.
5.00
Dec 25, 2024
aws expert Super proffesional!

TB

Tom B.
5.00
Nov 4, 2024
AWS Environment Setup & Frontend Website Development with Terraform REVIEW

EG

Ekansh G.
5.00
Aug 2, 2024
I already have a running amplify project, and I need someone to explain that to me. Rajesh excelled in solving Amplify queries and ensuring all systems were in place. His communication was clear, deadlines were consistently met, and his expertise with Amplify was impressive. Rajesh's proactive approach to problem-solving and attention to detail were particularly valuable. He went above and beyond to optimize our systems and anticipate challenges. Kudos to Rajesh for his outstanding effort and expertise. I look forward to working with him again on future projects.

AR

Arif R.
5.00
Jul 31, 2024
AWS Amplify V5 to V6 Migration Rajesh is good at his work and he knows what needs to be done and helped me to resolve the issues by migration from aws amplify v5 to v6.

AD

Anthony D.
5.00
Jul 4, 2022
Amplify Project for API based product Rajesh completed this stage of project successfully
Rajesh P.Status: Offline

About Rajesh

Rajesh P.Status: Offline
Senior Agentic AI Engineer and AWS Cloud Architect specializing in AWS
100% Job Success
4.7  (29 reviews)
Kolkata, India - 7:48 pm local time
Senior Agentic AI & AWS Serverless Engineer | AWS Bedrock, Amazon Q, RAG Systems, & Serverless Cost Optimization.

Are you looking to build scalable, production-grade Agentic AI systems or serverless cloud architectures that cut operational costs without sacrificing performance?

You are in the right place. I help startups, scale-ups, and enterprises design, build, and deploy intelligent cloud-native applications and autonomous workflows on AWS. Whether you are integrating Amazon Q, deploying AWS Bedrock multi-agent architectures, or migrating legacy monoliths to a lean serverless framework, I turn complex tech challenges into reliable, high-performing digital products.

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🚀 KEY ACHIEVEMENTS & PROVEN IMPACT
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• 50% Cloud Cost Reduction: Migrated complex legacy systems to fully optimized AWS Serverless architectures, slashing infrastructure overhead.
• Autonomous AI Workflows: Designed multi-agent systems using AWS Bedrock and LangChain that automate complex enterprise decision-making tasks.
• Real-Time Data Pipelines: Built high-throughput streaming pipelines using AWS Kinesis, Lambda, and DynamoDB for instant business analytics.
• Zero-Downtime Deployments: Implemented automated CI/CD pipelines using AWS CDK and CodePipeline to eliminate manual deployment errors.

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💡 RECENT ENTERPRISE USE CASES I SOLVE
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1. Custom Agentic AI & Enterprise RAG Applications: Building secure, context-aware AI assistants that integrate directly with internal company knowledge bases using AWS Bedrock and vector databases.
2. Serverless Backends & API Architecture: Architecting high-concurrency RESTful and GraphQL APIs (AppSync/API Gateway) backed by DynamoDB single-table design.
3. Monolith-to-Serverless Migration: Refactoring monolithic Node.js/Python applications into modular, micro-service based serverless architectures.
4. Cloud Security & Auth Infrastructure: Setting up enterprise-grade OAuth, SSO, and federated identity flows with AWS Cognito and IAM best practices.

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🧠 CORE EXPERTISE & TECH STACK
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• Agentic AI & LLMs: AWS Agent Core, Amazon Q, AWS Bedrock, LangChain, Autonomous Agents, RAG Pipelines, Vector DBs, Python
• Serverless & Compute: AWS Lambda, API Gateway, AppSync (GraphQL), SAM, AWS CDK, ECS/Fargate, Step Functions
• Databases & Caching: DynamoDB (NoSQL), Aurora Serverless, PostgreSQL, Redis, S3
• DevOps & Security: AWS Cognito, Federated Identities (Okta, SAML, Google, Apple), IAM, CloudWatch, GitHub Actions, CodePipeline
• Networking & Queueing: VPC, Route 53, CloudFront, SQS, SNS, EventBridge

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❓ FREQUENTLY ASKED QUESTIONS
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Q: Can you help audit our existing AWS architecture for cost optimization?
A: Yes. I perform deep-dive architectural audits to identify idle resources, inefficient query patterns, and over-provisioned infrastructure to significantly cut monthly AWS bills.

Q: Do you write clean, maintainable code?
A: Absolutely. I adhere to strict infrastructure-as-code (AWS CDK / SAM) practices, complete with unit testing, documentation, and clear deployment pipelines.

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🤝 HOW WE CAN WORK TOGETHER
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1. Discovery & Architecture Audit: We map out your business goals, cost targets, and technical requirements.
2. Rapid Development: Clean, well-documented, production-ready code built for scale.
3. Handover & Support: Automated deployment pipelines, architectural documentation, and smooth post-launch delivery.

👉 Ready to scale your application or integrate next-gen AI workflows? Click the "Invite" or "Message" button on the right, and let's discuss your project!

Steps for completing your project

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

Delivery time starts when Rajesh receives requirements from you.

Rajesh works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement Gathering & Architecture Draft

• Review your workflow, business goals, and AWS setup. • Provide initial architecture design & implementation plan.

Environment Setup & Orchestration Build

• Configure AWS Step Functions, Lambda, SageMaker, and supporting services. • Integrate AI/ML models, APIs, and data pipelines.

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