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
28 reviews
(26)
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DC
David C.
Jul 28, 2026
Production Hardening & HIPAA Technical Controls
A true pro. Excellent work, super easy to communicate with. Very responsive.
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.
About Ehteshamuddin
DevOps | Full Stack Engineer | AWS, Kubernetes, React, Node, HIPAA
100%
Job Success
Phoenix, United States - 8:36 pm local time
10+ years in engineering. Top Rated Plus, 100% Job Success.
Most freelancers do one or the other. I do both, which means the app I build already fits the infrastructure it ships on, and the infrastructure I build already accounts for how the app actually behaves under load.
WHAT I BUILD
DevOps: Kubernetes (EKS, GKE, AKS, bare metal RKE2 with Rancher), ECS Fargate, Terraform for everything, CI/CD with GitHub Actions, GitLab CI, and ArgoCD, monitoring with Prometheus and Grafana, and compliance hardening for HIPAA, SOC 2, PCI DSS, and NIST 800-53.
Web: SaaS products, admin portals, dashboards, REST and GraphQL APIs, multi tenant backends with PostgreSQL and row level security, Stripe billing, OAuth and SSO, background jobs, and the deployment pipeline that ships them.
RECENT PROJECTS
Built a multi tenant SaaS platform end to end: FastAPI and PostgreSQL backend with row level security for tenant isolation, React front end, Stripe subscriptions, and a rules engine for the core workflow. Deployed on AWS with Terraform and GitHub Actions. One engineer, app and infra.
Built an on prem RKE2 Kubernetes 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 ML workloads, Longhorn for storage, Velero for backups, ArgoCD for deployments. Enforced SSO through Entra ID on every cluster and SSH access point because their auditors required it.
Modernized AWS infrastructure for a holding group running four web apps. Moved the backends to ECS Fargate and Aurora Multi AZ, front ends to Amplify behind CloudFront, and set up blue green deployments. Midway through we found a breach in their GitHub org and I handled the full remediation across 42 repos.
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, and I do both.
Fixed a production Aurora MySQL performance problem that had a web app timing out at peak. Root cause was tmp table spill to disk. Tuned it, added a reader instance, zero downtime.
Built internal tooling in Next.js on Vercel for subscription and cloud cost tracking, pulling from billing APIs into a single dashboard.
STACK
Front end: React, Next.js, TypeScript, Tailwind
Back end: Node.js, Express, Python, FastAPI, Django, PostgreSQL, MySQL, Redis, Stripe, Auth0 and Entra ID SSO
Cloud: AWS (ECS, EKS, Lambda, Aurora, RDS, S3, CloudFront, Amplify), GCP (GKE, Cloud Run), Azure (AKS, Entra ID)
Platform: Kubernetes, Rancher, Helm, ArgoCD, Terraform, Docker, GitHub Actions, GitLab CI, Prometheus, Grafana, Cilium, Velero, Longhorn
Compliance: HIPAA, SOC 2, PCI DSS, NIST 800-53
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
Code and infrastructure that is written down, 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.
Full Stack Developer, DevOps Engineer, React Developer, Next.js Developer, Node.js Developer, Python Developer, FastAPI, Django, SaaS Development, Web Application Development, API Development, PostgreSQL, AWS DevOps, AWS Solutions Architect, Kubernetes, EKS, GKE, AKS, Terraform, CI/CD, GitHub Actions, ArgoCD, Docker, Cloud Migration, HIPAA Compliance, SOC 2, PCI DSS, Site Reliability Engineering, Cloud Infrastructure, Multi Tenant SaaS, Stripe Integration.
#CloudArchitect #DevOps #Kubernetes #Terraform#Azure #GCP #Docker #CI_CD #InfrastructureAsCode #CloudMigration #DevOpsEngineer #Automation #CloudInfrastructure #Microservices #CloudSecurity #NetworkSecurity #AWSCloud #AzureCloud #Serverless #AWSLambda #AzureDevOps #GitLabCI #GitHubActions #Linux #Unix #Bash #Python #GoLang #Java #Git #Ansible #Jenkins #NGINX #ApacheKafka #Databases #SQL #MySQL #PostgreSQL #MongoDB #Redis #DynamoDB #CloudStorage #S3 #CloudWatch #BackendInfrastructure #WebInfrastructure
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.