You will get SecureClaim AI — Insurance Claims Processing Platform
Top Rated
Top Rated
Project details
SecureClaim AI is an enterprise document intelligence project focused on building a secure, scalable RAG-powered platform for document processing, semantic search, and AI-driven knowledge retrieval.
The project included OCR-based document ingestion, FastAPI backend services, PostgreSQL with pgvector, vector embeddings, RAG workflows, Redis and Celery task processing, secure AWS deployment, CI/CD automation, monitoring, encryption, and enterprise-grade access control.
The platform architecture was designed for production-ready scalability, secure document handling, intelligent question answering, and reliable AI-assisted knowledge discovery.
AI Document Intelligence, RAG, LLM, FastAPI, PostgreSQL, pgvector, OCR, Semantic Search, Vector Database, Redis, Celery, AWS, CI/CD, Secure Architecture, Document Processing, Enterprise AI
#AI #RAG #LLM #FastAPI #PostgreSQL #pgvector #OCR #SemanticSearch #VectorDatabase #AWS #DocumentIntelligence #EnterpriseAI #CI_CD #CloudArchitecture #AIEngineering
The project included OCR-based document ingestion, FastAPI backend services, PostgreSQL with pgvector, vector embeddings, RAG workflows, Redis and Celery task processing, secure AWS deployment, CI/CD automation, monitoring, encryption, and enterprise-grade access control.
The platform architecture was designed for production-ready scalability, secure document handling, intelligent question answering, and reliable AI-assisted knowledge discovery.
AI Document Intelligence, RAG, LLM, FastAPI, PostgreSQL, pgvector, OCR, Semantic Search, Vector Database, Redis, Celery, AWS, CI/CD, Secure Architecture, Document Processing, Enterprise AI
#AI #RAG #LLM #FastAPI #PostgreSQL #pgvector #OCR #SemanticSearch #VectorDatabase #AWS #DocumentIntelligence #EnterpriseAI #CI_CD #CloudArchitecture #AIEngineering
Machine Learning Tools
Azure Machine Learning, ChatGPT, Deeplearning4j, GitHub Copilot, GPT-3, NVIDIA AI Platform, PyMC, Python, Python Scikit-Learn, PyTorch, SQLWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 2 | 2 | 3 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
27 reviews
(25)
(1)
(1)
(0)
(0)
This project doesn't have any reviews.
HT
Harold T.
Jul 2, 2026
Platform Engineer + AWS expert
I enjoyed working with Ehteshamuddin. I wouldn't hesitate to work with him again.
DC
David C.
Jun 30, 2026
AWS DevOps Engineer for HIPAA-Oriented Clinical Portal
Excellent, professional, timely, 10/10, highly recommend. Thank you!
LS
Larry S.
May 4, 2026
Docker Service Setup and Container Migration
Ehteshamuddin was excellent to work with! Very professional and completed the job succesfully.
TF
Tiffany F.
Apr 10, 2026
Survey Platform Developer (Decipher/Forsta) – Modular Architecture
Ehteshamuddin was a pleasure to work with. He communicated clearly throughout the project, stayed organized, and consistently delivered high-quality work on time. He was proactive in solving issues and paid close attention to detail, which made the collaboration smooth and efficient. I’d be happy to work with him again and would recommend him to others.
IH
Ilyas H.
Mar 24, 2026
Hands-on AI in Observability expert to write educational articles for peers
About Ehteshamuddin
Sr DevOps | AWS & GCP | Kubernetes | Terraform | HIPAA | SOC 2
100%
Job Success
Phoenix, United States - 11:01 pm local time
10+ years in DevOps. Top Rated Plus, 100% Job Success.
𝙎𝙤𝙢𝙚 𝙧𝙚𝙘𝙚𝙣𝙩 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙩𝙤 𝙜𝙞𝙫𝙚 𝙮𝙤𝙪 𝙖𝙣 𝙞𝙙𝙚𝙖 𝙤𝙛 𝙬𝙝𝙖𝙩 𝙄 𝙖𝙘𝙩𝙪𝙖𝙡𝙡𝙮 𝙙𝙤:
Built an on-prem RKE2 cluster from scratch for a company preparing for SOC 2 and HIPAA. Rancher for management, Cilium with WireGuard for encrypted pod traffic, GPU nodes for their ML workloads, Longhorn for storage, Velero for backups, ArgoCD for deployments. Also enforced SSO through Entra ID on every cluster and SSH access point because their auditors required it.
Took a healthcare data platform through HIPAA hardening on AWS. ECS Fargate, Aurora PostgreSQL, private subnets, TLS everywhere, proper secrets handling. Phase one was making it work, phase two was making it pass an audit. Different skill sets, I do both.
Modernized AWS infrastructure for a holding group running four brands. Moved everything to ECS Fargate and Aurora Multi-AZ, set up blue-green deployments, CloudFront in front. Midway through we found a security breach in their GitHub org and I handled the full remediation across every repo.
Fixed a production Aurora MySQL performance problem that had their app timing out during peak hours. Root cause was tmp table spill to disk. Tuned it, added a reader, no downtime.
I also do a lot of unglamorous work that keeps things running: CI/CD pipelines (GitHub Actions, GitLab CI, ArgoCD), Terraform for everything, monitoring with Prometheus and Grafana, cost cleanup, VPN and networking issues, database migrations.
Industries I know well: Healthcare (HIPAA is second nature at this point), Fintech and Payments (PCI DSS), and B2B SaaS.
𝙒𝙝𝙖𝙩 𝙮𝙤𝙪 𝙜𝙚𝙩 𝙬𝙤𝙧𝙠𝙞𝙣𝙜 𝙬𝙞𝙩𝙝 𝙢𝙚:
Infrastructure that is written down in code, documented, and reproducible. I answer messages fast and I will tell you upfront if something is a bad idea or if I am not the right person for it.
Send me your project details and current setup. I will give you an honest read on scope and effort before you spend anything.
Steps for completing your project
After purchasing the project, send requirements so Ehteshamuddin can start the project.
Delivery time starts when Ehteshamuddin receives requirements from you.
Ehteshamuddin works on your project following the steps below.
Revisions may occur after the delivery date.
Gather Requirements & Design System Architecture
Review your use case, documents, security needs, and cloud requirements. Design a scalable AI architecture, select the appropriate LLM, and define the RAG workflow and deployment strategy.
Build AI Document Assistant & RAG Pipeline
Build the document ingestion pipeline, OCR processing, vector database, embeddings, and RAG-powered chatbot. Integrate APIs, authentication, and cloud services based on project requirements.