I will develop a secure rag ai chatbot using langchain and AWS bedrock
AI Architect and Senior Data Scientist using Python, RAG, LLMs, AWS, SQL and ETL
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Is your AI project stuck because you can't trust public APIs with sensitive data? You need an intelligent agent that runs inside your AWS cloud, ensuring proprietary data never leaves your control.
I bridge Data Science and Cloud Security. With 5 years of Python experience plus AWS certification, I specialize in deploying custom RAG (Retrieval-Augmented Generation) applications using LangChain and AWS Bedrock.
Here is how your business transforms:
- 70% Higher Accuracy: RAG anchors the AI to your docs (PDF/SQL) via Vector DBs (FAISS/Chroma), eliminating hallucinations.
- Enterprise Security: AWS IAM roles and VPC configuration ensure data isolation without hardcoded API keys.
- 40-60% Cost Reduction: Optimized Bedrock models (Claude Haiku) are significantly cheaper than GPT-4.
- 24/7 Availability: Containerized deployment (Docker) on EC2 or Lambda for a persistent URL.
What You Get (No Black Boxes):
- Complete Source Code (You own it)
- Architecture Diagrams & Documentation
- 1-Hour Handover Call (I teach you how to maintain it)
Why Me? I am a Data Scientist, not just a Cloud Admin. I understand and debug the AI logic AND the infrastructure.
Ready to launch? Click "Contact Me" to start.
Cloud provider:
Amazon Web Services
Cloud computing resource:
EC2
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Lambda
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VPC
•
ECS
•
RDS
Clients I’ve worked with
Linxed
Built the data science and analytics engine behind Linxed's premium EdTech insights, a layer that didn't exist when I joined. I designed the Python XP and benchmarking pipelines that tier students against regional, age-band norms, compiled a 100+ source registry across UK, HK and US data, and turned a non-technical founder's vision into an auditable, documented system the dev team builds on.
Feb 2026
ZeroCabin
For ZeroCabin (Chile, sustainable tiny-homes) I built The Nest end to end — a tool that computes where to anchor a cabin suspended between four trees. I owned every layer: the optimization algorithms in a Python backend, the web frontend, and the cloud deployment I advised on and provisioned myself (VPS, nginx, SSL). Client confirmed full satisfaction, then engaged me on a second product.
Mar 2026-Apr 2026
My Portfolio
FAQ
Why should I use AWS Bedrock instead of the standard OpenAI API?
AWS Bedrock ensures strict data sovereignty by keeping proprietary data inside your AWS VPC, unlike public APIs. I configure LangChain agents to process everything securely within your cloud environment, making this the ideal compliant solution for enterprise.
Are there monthly subscription fees?
No monthly fees. You only pay AWS for usage. Using Serverless Architecture (AWS Lambda) and Claude 3 Haiku, costs are often 40-60% lower than GPT-4. I design the system to scale to zero cost when idle, maximizing Cost Optimization for your business.
Can I connect the AI to my SQL database or API, not just PDF files?
Yes. While the base gig uses RAG for PDFs, I am a Data Scientist with 5 years of Python experience. I can use langchain_experimental to query SQL Databases or fetch live API data. Check my Gig Extras or message me for a custom "Data Connector" quote.
How do you secure the application? Do you need my AWS Admin keys?
I follow the AWS Well-Architected Framework and never ask for root keys. I provide a specific IAM Policy for restricted access. The application uses IAM Roles attached to EC2 or Lambda, ensuring no sensitive API keys are ever hardcoded in your script.
What happens if I want to update the AI's knowledge base later?
The system is dynamic. I configure an S3 Bucket trigger. Simply upload a new PDF, and the automation updates your Vector Database (FAISS/Chroma) instantly. No coding is required to keep your Knowledge Base current, ensuring your bot stays smart.
I already have a Python script. Can you just deploy it for me?
Yes. I specialize in helping Data Scientists. I can containerize your existing Python/LangChain code with Docker and deploy it to AWS EC2 or Lambda. I also debug "Cloud-only" permission errors that don't appear on local machines, ensuring a live URL.
1 reviews for this Gig
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P pchadha7
Repeat Client

United States
Very good professor
Up to $50
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1 reviews for this Gig
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| (1) | ||
| (0) | ||
| (0) | ||
| (0) |
Rating Breakdown
- Seller communication level
- Quality of delivery
- Value of delivery
Sort By
P pchadha7
Repeat Client

United States
Very good professor
Up to $50
Price
1 day
Duration
Helpful?

