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You will get AI Bedrock RAG SAAS Application

Project details
Use Cases:
• Customer Support: Contextualized answers using company knowledge bases.
• Education: Instant learning material summaries.
• Healthcare: Supporting doctors with precision-driven answers from medical literature.
• E-commerce: Personalized shopping recommendations and detailed product inquiries.
Workflow:
• User queries the application through an API.
• The system retrieves relevant documents or data using semantic search.
• AWS Bedrock augments its generated response with the retrieved data.
• A refined and contextualized response is returned to the user.
• Customer Support: Contextualized answers using company knowledge bases.
• Education: Instant learning material summaries.
• Healthcare: Supporting doctors with precision-driven answers from medical literature.
• E-commerce: Personalized shopping recommendations and detailed product inquiries.
Workflow:
• User queries the application through an API.
• The system retrieves relevant documents or data using semantic search.
• AWS Bedrock augments its generated response with the retrieved data.
• A refined and contextualized response is returned to the user.
Programming Languages
PythonCoding Expertise
Cross Browser & Device CompatibilityWhat's included $5,000
These options are included with the project scope.
$5,000
- Delivery Time 10 days
- Number of Revisions Unlimited
- Number of Pages 10
- Design Customization
- Content Upload
- Responsive Design
- Source Code
29 reviews
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OS
Omer S.
Dec 25, 2024
aws expert
Super proffesional!
TB
Tom B.
Nov 4, 2024
AWS Environment Setup & Frontend Website Development with Terraform REVIEW
EG
Ekansh G.
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.
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.
Jul 4, 2022
Amplify Project for API based product
Rajesh completed this stage of project successfully
About Rajesh
Senior Agentic AI Engineer and AWS Cloud Architect specializing in AWS
100%
Job Success
Kolkata, India - 11:11 am local time
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!
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After purchasing the project, send requirements so Rajesh can start the project.
Delivery time starts when Rajesh receives requirements from you.
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Revisions may occur after the delivery date.
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