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$
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I will build a secure enterprise private rag ai system on AWS
Nisal Gangana
Level 1
About this gig
Your confidential documents should never train a public model or leave your infrastructure. I architect private RAG AI systems that run entirely inside your own AWS account, so your team can query internal data with zero data leakage.
What you get:
- Full data privacy documents stay in your VPC and S3; nothing is sent to ChatGPT or external APIs
- ️ Native AWS architecture Bedrock, EC2, IAM least-privilege, and isolated private networking
- Chat with your data accurate, source-cited answers from your own knowledge base
- ️ Enterprise security encryption in transit and at rest, scoped access, audit-ready logging
- Production-ready scalable design with a clear architecture diagram and handover docs
Why work with me:
As an AWS Solutions Architect specializing in secure LLM deployment, I treat your infrastructure like a regulated environment not a weekend script. You receive a maintainable system your engineers can own.
Ideal for legal, finance, healthcare, and enterprise teams handling sensitive data.
Message me with your use case for a tailored architecture proposal before ordering.
Get to know Nisal Gangana
Nisal Gangana
AWS Cloud Architect and Infrastructure Specialist
Level 1
- FromSri Lanka
- Member sinceMay 2019
- Avg. response time1 hour
- Last delivery3 weeks
Languages
Sinhala, English
Hi, I'm Nisal, an AWS & Azure Cloud Architect. I design secure, highly available cloud infrastructure, automate it with Terraform, and build private AI/LLM (RAG) environments. With smart FinOps, I cut wasted AWS spend without hurting performance.
As a bonus, I document everything with unique animated & 2D architecture diagrams — so your team always understands how the system works.
Whether you're scaling up or fixing a messy, expensive setup, I deliver production-ready quality and clear communication.
Ready to build or optimize your cloud? Let's chat!
My Portfolio
FAQ
How do you guarantee our documents stay private?
The entire system is deployed inside your AWS account. Documents live in your S3 and VPC, inference runs through AWS Bedrock or a private model on your EC2, and no data is ever sent to public AI providers. You retain full ownership and control of every component.
Do I need an existing AWS setup, or do you build it?
Either works. I can deploy into your current VPC following your security policies, or provision a clean, properly isolated environment from scratch with IAM least-privilege, encryption, and audit logging configured to enterprise standards.
What happens after delivery — can my team maintain it?
Yes. Every build includes an architecture diagram, configuration documentation, and a handover walkthrough. The Premium tier adds CI/CD so your engineers can update document sources and redeploy independently, with no vendor lock-in to me.
