You will get RAG & Document AI Strategy Session | Architecture Consultation
Top Rated

Project details
Most RAG and Document AI projects go wrong in the first two weeks before a line of production code is written. The wrong chunking strategy, the wrong vector database choice, or a retrieval layer that works in testing and fails on real documents.
This session gives you a senior AI engineer who has shipped production RAG and Document AI systems 15,000 federal compliance documents monthly, 10,000-page document corpora with source-cited Q&A, legal contract AI reducing review from 4 hours to 60 seconds answering your specific architecture questions in real time. You bring your situation. I bring production experience. You leave with a clear direction instead of another week of experimentation.
This session gives you a senior AI engineer who has shipped production RAG and Document AI systems 15,000 federal compliance documents monthly, 10,000-page document corpora with source-cited Q&A, legal contract AI reducing review from 4 hours to 60 seconds answering your specific architecture questions in real time. You bring your situation. I bring production experience. You leave with a clear direction instead of another week of experimentation.
AI Development Type
Deep Learning, Knowledge RepresentationAI Tools
Azure Machine Learning, OpenCV, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$99
|
Standard
$199
|
Advanced
$349
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 0 | 0 | 1 |
AI Model Integration | - | ||
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Written session summary
(+ 1 Day)
+$75
Follow-up Q&A
(+ 1 Day)
+$99
Priority scheduling
+$49Frequently asked questions
6 reviews
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MR
Musharaf R.
Apr 9, 2026
AI Engineer Needed for Document AI Pipeline with RAG Search MVP
"Project completed exactly as requested! Jamal showed a deep understanding of the requirements and handled the nuances of the task perfectly. He was very receptive to feedback and ensured the final output met all my standards. I’ll definitely be hiring him again for future milestones."
ZS
Zuriel S.
Mar 25, 2026
Computer Vision Developer for Law Enforcement Project
Jamal delivered excellent work on Phase 1 of our project. He was very detail-oriented, fast, and communicated clearly throughout the process. The deliverables met expectations and showed strong technical skill. I would definitely recommend him and look forward to working together again in the future.
KC
Ken C.
Feb 14, 2026
Technical Consultation: Large-Scale Text Retrieval System Architecture Review (1-2 Hours, Paid)
KC
Ken C.
Jan 30, 2026
Technical Consultation: Large-Scale Text Retrieval System Architecture Review (1-2 Hours, Paid)
AI
Ali I.
Jul 29, 2025
Build n8n Automation POC – Chatbot, PDF Processing & Task Monitoring
Jamal was a pleasure to work with! He quickly understood the scope and delivered a powerful n8n automation setup with chatbot, PDF processing, and task monitoring. Highly recommend him for any automation project.
About Jamal
Document AI Engineer | OCR, RAG, Claude API | Python FastAPI
100%
Job Success
Germantown, United States - 4:52 pm local time
What I build:
Document AI and IDP: layout-aware extraction for invoices, contracts, compliance forms, and medical records with deterministic Python validation enforcing your business rules. No hallucinations on regulated data.
RAG and LLM Pipelines: LangChain and LangGraph orchestration with pgvector semantic search, source-cited Q&A, and human-in-the-loop review routing. Production-grade, not a demo.
OCR Infrastructure: PaddleOCR, Tesseract, Azure Document Intelligence, and Google Cloud Vision for printed, handwritten, scanned, and multi-language documents including Arabic and Spanish.
AI Automation: n8n workflow orchestration, webhook-based routing, and API integrations connecting document pipelines to your existing platforms.
Computer Vision: YOLO-based defect detection for manufacturing quality control, real-time ALPR at 120 FPS, liveness detection and face matching for KYC onboarding.
Industries: Finance · Legal · Healthcare · Federal Compliance · Manufacturing · Enterprise SaaS
Why clients return: Purdue CS graduate. Stanford ML certification. 25+ years of engineering experience including a $40M government contract managing 20+ person teams. I stay until the system performs in production, not until the code compiles.
Click Book Consultation for a 30-minute Architecture Review before we start.
Steps for completing your project
After purchasing the project, send requirements so Jamal can start the project.
Delivery time starts when Jamal receives requirements from you.
Jamal works on your project following the steps below.
Revisions may occur after the delivery date.
Intake review
I review your answers and any documents or diagrams you share before the session so we do not spend call time on background.
Live consultation
We meet via call. I ask targeted questions, identify gaps in your current approach, and recommend a clear path forward.

