You will get a Secure RAG Architecture Design for Regulated Environments
Top Rated
Project details
Get a production-ready RAG architecture designed for regulated environments where data sensitivity, access control, and auditability are non-negotiable. This engagement delivers a secure retrieval-augmented generation system built with enterprise-grade controls from day one.
Deliverables include:
• Data segmentation strategy with classification-based retrieval boundaries
• LLM containment design to prevent data leakage across trust boundaries
• Prompt injection mitigation with input validation and output filtering
• Governance controls for retrieval pipelines including access control and provenance tracking
• Audit traceability with structured logging for compliance review
• Vector store security including embedding isolation and retention controls
Ideal for organizations deploying AI in healthcare, financial services, government, or any domain requiring HIPAA, FedRAMP, or NIST 800-53 alignment. You receive architecture documentation, threat model, and implementation roadmap ready for your engineering team.
Deliverables include:
• Data segmentation strategy with classification-based retrieval boundaries
• LLM containment design to prevent data leakage across trust boundaries
• Prompt injection mitigation with input validation and output filtering
• Governance controls for retrieval pipelines including access control and provenance tracking
• Audit traceability with structured logging for compliance review
• Vector store security including embedding isolation and retention controls
Ideal for organizations deploying AI in healthcare, financial services, government, or any domain requiring HIPAA, FedRAMP, or NIST 800-53 alignment. You receive architecture documentation, threat model, and implementation roadmap ready for your engineering team.
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
Enterprise AI Architect | Security, Cloud, DNS & Deliverability
100%
Job Success
Buckeye, United States - 12:57 am local time
My background is not limited to one platform or recent tooling trend. I've worked across enterprise systems, web platforms, data engineering, security, and internet infrastructure for decades. That includes regulated environments, NIST/FedRAMP/HIPAA-style control work, AI/RAG systems, cloud migrations, document automation, and high-volume email/DNS infrastructure.
One of my deeper specialties is email infrastructure and deliverability. Earlier in my career I worked on large-scale sender reputation, SMTP routing, ISP-facing delivery problems, SPF/DKIM, DNS/PTR alignment, CAN-SPAM-era compliance, and high-volume campaign systems for major telecom, financial services, retail, and data-services environments. Today that experience still matters because modern sites depend on email for receipts, verification, password recovery, donor/customer communication, newsletters, and trust.
Recent work includes helping a nonprofit crowdfunding platform move from prototype to production readiness: locking down data exposure, stabilizing Stripe payment flows, setting up transactional email, creating newsletter architecture, consolidating DNS, and hardening launch-critical infrastructure.
I'm a good fit when you need someone who can look past the UI, understand how the system is really behaving, and turn a messy technical situation into a practical, secure, maintainable path forward.
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.