You will get Private AI Document Assistant — Source-Cited Answers With Audit Trail
Project details
I build private AI document assistants that answer questions about your internal documents — with every answer sourced back to the exact file and passage. Built on a production RAG pipeline with tamper-evident audit logging, role-based access control, and multi-provider LLM support (OpenAI or Anthropic). Delivered in Java, .NET, or Python — your stack, not mine.
30 years building software for federal defense, national intelligence, and healthcare — environments where audit trails and compliance are not optional. DHA TRICARE. DIA. TS/SCI with CI/FS Polygraph.
This is not a chatbot wrapper. It's a deployable system with 70 automated tests, a hash-chained audit log your compliance officer can defend, and Docker-based delivery your IT team can run. Starting at $800. Fixed price. 3–5 day delivery.
30 years building software for federal defense, national intelligence, and healthcare — environments where audit trails and compliance are not optional. DHA TRICARE. DIA. TS/SCI with CI/FS Polygraph.
This is not a chatbot wrapper. It's a deployable system with 70 automated tests, a hash-chained audit log your compliance officer can defend, and Docker-based delivery your IT team can run. Starting at $800. Fixed price. 3–5 day delivery.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$800
|
Standard
$1,100
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 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 |
Optional add-ons
You can add these on the next page.
Managed Hosting Setup
+$300Frequently asked questions
About Marcus
AI Engineer - Custom Document Assistants and Automation Tools
Palm Harbor, United States - 3:28 am local time
30 years of full-stack delivery. My federal career includes DHA TRICARE, DIA, NGA, and DNI — environments where audit trails, access controls, and compliance are not optional. TS/SCI with CI/FS Polygraph previously held.
Most AI vendors build demos. I ship deployable software.
The stack is your choice — Java, .NET, or Python, depending on your environment. Your existing infrastructure stays intact. No language migration required. The Python sidecar handles LLM orchestration, PHI scrubbing, and transcription invisibly underneath whatever stack you run.
What I'm shipping now on Upwork:
AI Document Assistant — RAG pipeline over your private documents. Source-cited answers, tamper-evident audit log, role-based access, multi-provider LLM (OpenAI or Anthropic), Dockerized delivery. Starting at $800. 3–5 day delivery. Fixed price.
Need a HIPAA-compliant variant with PHI scrubbing and private deployment? Ask about it.
For senior consulting engagements in Java/Spring Boot, HAPI FHIR, .NET/Semantic Kernel, or agentic AI — message me directly.
Steps for completing your project
After purchasing the project, send requirements so Marcus can start the project.
Delivery time starts when Marcus receives requirements from you.
Marcus works on your project following the steps below.
Revisions may occur after the delivery date.
Scope review and environment setup
Review your document types, confirm hosting preference, and configure the RAG pipeline environment.
Build and configure RAG pipeline
Index your documents, configure LLM provider, RBAC, and audit log. Test retrieval quality against your content.