You will get a Secure RAG Architecture Design for Regulated Environments
Top Rated
Project details
Your team may already have documents, a promising prototype, and pressure to add AI. The hard part is deciding what the system may retrieve, who may see what, how answers are verified, and whether the design will hold up once real users depend on it.
I review the architecture behind those decisions and give you a practical path forward. This is for organizations working with internal, sensitive, or regulated information that need more than a chatbot demo.
You receive:
• A review of sources, ingestion, retrieval, access, and answer traceability
• A decision and risk log: what must be resolved before implementation
• A target architecture diagram and phased roadmap
• A working session with questions for technical and business stakeholders
• A concise executive-ready summary
Best fit: a team with a real document or data environment, accountable stakeholders, and an implementation decision to make.
Not a fit: a request to build a chatbot immediately without an information model, access model, or accountable owner.
I review the architecture behind those decisions and give you a practical path forward. This is for organizations working with internal, sensitive, or regulated information that need more than a chatbot demo.
You receive:
• A review of sources, ingestion, retrieval, access, and answer traceability
• A decision and risk log: what must be resolved before implementation
• A target architecture diagram and phased roadmap
• A working session with questions for technical and business stakeholders
• A concise executive-ready summary
Best fit: a team with a real document or data environment, accountable stakeholders, and an implementation decision to make.
Not a fit: a request to build a chatbot immediately without an information model, access model, or accountable owner.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging FaceAI Models
BERT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,500
|
Advanced
$5,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
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 | - | - | - |
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JM
Jomar M.
Jun 2, 2026
AI Solutions Architect Consultant (Part-Time Oversight Role)
RH
Riley H.
Jun 1, 2026
AI enablement + cybersecurity interview (45min)
Thanks for the excellent interview Daniel!
SB
Scott B.
May 11, 2026
Pre-Launch Security Audit & Infrastructure Review — React + Supabase Crowdfunding Platform
Dan was exactly the expert we needed for our pre-launch security audit. He came in with deep knowledge of React and Supabase architecture, and immediately identified vulnerabilities and configuration issues we would have completely missed on our own. His infrastructure review was thorough, methodical, and clearly explained at every step.
What really set Dan apart is that he didn't just hand off a report, he actually rolled up his sleeves and implemented the fixes himself. Every recommendation was put into action, tested, and verified. He walked us through what he was doing, explained the risk behind each issue, and left our stack in a far stronger place than he found it.
For a crowdfunding platform handling payments and sensitive user data, peace of mind matters. Dan delivered exactly that. Highly recommend him to anyone launching on Supabase who wants a true expert auditing and hardening their stack before going live. We will absolutely work with him again.
What really set Dan apart is that he didn't just hand off a report, he actually rolled up his sleeves and implemented the fixes himself. Every recommendation was put into action, tested, and verified. He walked us through what he was doing, explained the risk behind each issue, and left our stack in a far stronger place than he found it.
For a crowdfunding platform handling payments and sensitive user data, peace of mind matters. Dan delivered exactly that. Highly recommend him to anyone launching on Supabase who wants a true expert auditing and hardening their stack before going live. We will absolutely work with him again.
MV
Mitesh V.
May 8, 2026
Senior Data / Data Science Operators Needed for Paid Product Validation ($75 for 1-Hour Call)
Daniel was great to work with! Great feedback, and sent follow-up notes and thoughts. Will definitely work with Daniel again.
KH
Kirsten H.
Aug 27, 2025
Paid Trial – Short Blog Post + Strategic Insight Task
Great communicator, deep subject matter expert. Will work with again!
About Daniel
Secure AI & RAG Architect | Governance, Cloud Security
100%
Job Success
Buckeye, United States - 11:25 am local time
My work connects the parts that determine whether an AI initiative can move beyond a promising demo: data classification, identity and access, retrieval quality, logging, integration security, and clear operating guardrails. I turn those constraints into an architecture and implementation roadmap that technical and non-technical stakeholders can use.
I bring 25+ years across enterprise architecture, data systems, cloud, and security. I currently support a state agency, where my work includes security architecture and governance for AI, data, and integration platforms in a public-sector environment.
Typical engagements include:
• Secure AI and RAG architecture reviews
• AI governance and readiness assessments
• Production-readiness and security reviews for web platforms
• Identity, zero-trust, API, and integration security
• Document intelligence and enterprise search design
I also bring deep specialist experience in email deliverability, DNS, sender authentication, and transactional-email infrastructure—particularly useful when email is part of a launch-critical customer journey.
If you need a clear, low-risk path from complex technical constraints to an executable plan, I can help.
Steps for completing your project
After purchasing the project, send requirements so Daniel can start the project.
Delivery time starts when Daniel receives requirements from you.
Daniel works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and Threat Modeling
Review existing infrastructure, compliance requirements, and data flows. Produce initial threat model.