You will get Secure, Production-Ready AWS Bedrock Chatbot (RAG System + API + Terraform)


Project details
I will build a full AI chatbot system on AWS Bedrock, including a secure API, document ingestion pipeline, vector search, embeddings, and a fully modular Terraform codebase.
Your solution will include:
Bedrock model integration (Claude/Llama/Mistral)
RAG (Retrieval-Augmented Generation) pipeline
Vector database (OpenSearch / Aurora pgvector)
Document ingestion workflow (Lambda + S3 + Step Functions)
Secure API endpoint for chat
Terraform IaC for reproducibility
Optional frontend UI
CI/CD pipeline for deployments
This system allows you to:
Ask questions about your documents
Build private ChatGPT-like assistants
Integrate intelligent search into your app
Automate customer support
Build compliance-friendly AI (data stays inside AWS)
Your solution will include:
Bedrock model integration (Claude/Llama/Mistral)
RAG (Retrieval-Augmented Generation) pipeline
Vector database (OpenSearch / Aurora pgvector)
Document ingestion workflow (Lambda + S3 + Step Functions)
Secure API endpoint for chat
Terraform IaC for reproducibility
Optional frontend UI
CI/CD pipeline for deployments
This system allows you to:
Ask questions about your documents
Build private ChatGPT-like assistants
Integrate intelligent search into your app
Automate customer support
Build compliance-friendly AI (data stays inside AWS)
AI Algorithms
Autoencoder, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI-Generated Code, AIOps, Anomaly Detection, Automatic Speech Recognition, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Sequence Modeling, Speech SynthesisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, ChatGPT, DALL-E, Dolly, GPT-3, GPT-4, GPT-J, GPT-Neo, Jurassic-2, LLaMA, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$200
|
Standard
$650
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 14 days |
Number of Revisions | 1 | 2 | 4 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | |||
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | |
Model Tuning | - | ||
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | |
Prompt Engineering | - | ||
Setup File | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $500
Additional Revision
+$100Frequently asked questions
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Went the extra mile (without me asking) and formatted the data in an easier way to work with data design.
No problem with communication or understanding English and finished the project in a timely manner.
I have no complaints about my little project and recommend this dev for other PHP projects.
Went the extra mile (without me asking) and formatted the data in an easier way to work with data design.
No problem with communication or understanding English and finished the project in a timely manner.
I have no complaints about my little project and recommend this dev for other PHP projects.
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Eszter A.
Dec 21, 2022
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About Muhammad
AI Chatbot Platform (2-3 Weeks) | AWS Bedrock | DevSecOps | CEH
Islamabad, Pakistan - 4:38 pm local time
I've built a production-ready AI chatbot platform on AWS Bedrock that typically takes companies $100K-$200K and 6-12 months to develop from scratch. I customize and deploy it for businesses in 2-3 weeks, with clients seeing 60-70% reduction in support costs within 90 days.
✨ AI Chatbot Platform Features:
✅ AWS Bedrock with Claude 3.5 Sonnet (latest & most powerful LLM)
✅ Advanced RAG - connects to your knowledge bases/documents
✅ Enterprise security: HIPAA, SOC2, GDPR-ready architecture
✅ Complete white-labeling with your branding
✅ Admin dashboard, analytics, user management
✅ Auto-scaling infrastructure (10 to 100K+ concurrent users)
Perfect for: Customer support automation (70% ticket reduction), internal knowledge assistants, sales lead qualification, research tools
☁️ Cloud Security & DevSecOps Expertise
Beyond my AI chatbot platform, I'm a Cloud Security & DevSecOps specialist with 14+ years of combined experience helping businesses build secure, scalable, production-ready cloud systems.
🎓 Certifications & Credentials:
- 🏆 AWS Solutions Architect Professional (SAP-C02)
- 🔒 Certified Ethical Hacker (CEH)
- ☁️ Google Cloud Security Professional
- 🔐 Cisco Certified Ethical Hacking
- 📊 Huawei HCCDA Cloud Architect
- 🎓 MS in Cybersecurity (in progress - thesis: AI-based IDS)
🛡️ Core Services:
1. Cloud Security & Hardening
- AWS/GCP/Azure security architecture & IAM best practices
- Secure VPC design, micro-segmentation, zero-trust networks
- Cloud pentesting (S3, IAM, API Gateway, Lambda, EC2, etc.)
- Compliance alignment (ISO 27001, SOC2, CIS Benchmarks)
- Threat detection, incident response, SIEM setup (ELK, Wazuh, SecurityHub)
2. DevSecOps & Infrastructure-as-Code
- Terraform modules for production-grade AWS/GCP/Azure infrastructure
- CI/CD pipelines with security gates (GitHub Actions, GitLab CI, Jenkins)
- Kubernetes security & cluster hardening
- Secrets management (SSM, Vault, KMS)
- Container security (image scanning, runtime protection)
3. Backend Development & Automation
- Secure Python/PHP/JavaScript backend development
- API development & integrations
- Automation scripts for cloud operations
- Microservices architecture
- 900+ successful freelance projects delivered
💡 Why Clients Choose Me:
✅ Complete 360° Solution - I combine AI, Cloud, Security, and DevOps expertise
✅ Security by Design - I architect secure systems, not patch vulnerabilities later
✅ Production-Grade Code - Battle-tested architectures, not tutorials or prototypes
✅ Clear Communication - Documentation, diagrams, professional handover
✅ Fast & Reliable - 14+ years experience, 900+ projects, proven track record
🎯 Ideal Projects:
High-Value ($5K-$50K):
- Enterprise AI chatbot deployment (my specialty - fastest ROI)
- Secure cloud architecture design & implementation
- DevSecOps pipeline setup with security automation
- Cloud security audits & penetration testing
Medium-Value ($1K-$5K):
- Terraform infrastructure automation
- CI/CD pipeline setup
- Security hardening & compliance
- API development & integrations
📞 Let's Discuss Your Project
Whether you need an AI chatbot deployed quickly, a secure cloud architecture, or DevSecOps automation, I deliver enterprise-quality solutions with fast turnarounds.
Available: Less than 30 hrs/week
Location: Islamabad, Pakistan (UTC+5)
Languages: English (Native/Bilingual), Urdu (Native/Bilingual)
🚀 Featured Projects:
- AWS Bedrock AI Chatbot Platform (RAG, streaming, analytics)
- Serverless Event-Driven Microservices (AWS Lambda, EventBridge)
- Enterprise Knowledge Assistant (AWS SimuLearn)
- Secure Terraform VPC, ECS, RDS + CI Pipeline
View my portfolio below to see detailed case studies with architecture diagrams.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & Requirements
Clarify AWS access, model selection, and RAG pipeline scope.
Terraform Setup
Build core modules for IAM, Lambda, API Gateway, S3, vector DB.

