You will get Build Scalable AI-Powered Backends with Python (FastAPI, Django, Flask)
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Project details
🚀 I’ll build you a secure, production-ready Python backend with FastAPI, Django, or Flask, designed to be fast, reliable, and scalable.
🤖 Need AI features? I can integrate LLMs, chatbots, and semantic search into your app, so you don’t just get an API — you get a smarter product.
💼 With 7+ years of experience in Python, AI/ML, and cloud deployments, I’ve delivered solutions for startups, SaaS platforms, and healthcare projects where security and compliance are critical.
☁️ I use modern DevOps practices like Docker, Kubernetes, and CI/CD, making sure your system is cloud-ready and easy to maintain.
📑 Every gig includes clear documentation and a short walkthrough video, so your team can take over with zero friction.
✅ End result: A backend that’s clean, scalable, and AI-ready — so you can focus on your product, not the infrastructure.
🤖 Need AI features? I can integrate LLMs, chatbots, and semantic search into your app, so you don’t just get an API — you get a smarter product.
💼 With 7+ years of experience in Python, AI/ML, and cloud deployments, I’ve delivered solutions for startups, SaaS platforms, and healthcare projects where security and compliance are critical.
☁️ I use modern DevOps practices like Docker, Kubernetes, and CI/CD, making sure your system is cloud-ready and easy to maintain.
📑 Every gig includes clear documentation and a short walkthrough video, so your team can take over with zero friction.
✅ End result: A backend that’s clean, scalable, and AI-ready — so you can focus on your product, not the infrastructure.
Machine Learning Tools
Accord.NET Framework, Amazon SageMaker, AnyLogic, Apache Mahout, Apache MXNet, Apache Spark, Apache Spark MLlib, ArcGIS, Azure Machine Learning, BERT, BigDL, Caffe, Chainer, ChatGPT, Cloudera, Databricks Platform, Databricks MLflow, deeplearn.js, Deeplearning4j, fastText, Fiddler.ai, GPT-3, pandas, Python Scikit-Learn, RWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 30 days |
Number of Revisions | 2 | 3 | Unlimited |
Number of Model Variations | 2 | 5 | 10 |
Number of Scenarios | 2 | 5 | |
Number of Graphs/Charts | 1 | 3 | |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
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It was really great working with you. Professional, knowledgeable, reliable, and punctual. For any further projects, even with my colleagues, you will be for sure recommended. Thanks once again.
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Timely, professional correspondence. Shared detailed information following feasibility check for the project.
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About Shah E Rome
Senior Python Engineer | PACS, DICOM, HIPAA | FastAPI Backend
100%
Job Success
Islamabad, Pakistan - 4:09 am local time
I specialize in PACS/DICOM workflows, radiology AI pipelines, HIPAA-compliant platforms, and AI-assisted imaging pipelines for hospitals, clinics, and healthtech startups. From architecture to cloud deployment, I deliver secure, scalable systems that meet clinical standards.
Beyond medical imaging, I also architect high-performance Python backends for SaaS and AI platforms — scalable APIs, microservices, and cloud deployments built for production.
I specialise in FastAPI microservices for healthcare platforms — HIPAA-compliant, production-ready and clinically reliable.
🚀 What I Deliver (End-to-End Ownership)
✅ Backend & system architecture
✅ Scalable APIs and microservices
✅ Healthcare & Medical Imaging platforms (PACS / DICOM)
✅ Python backend systems for SaaS & AI platforms
✅ Cloud, Ubuntu server & on-prem deployments
✅ CI/CD, DevOps & production automation
✅ Application security & compliance-ready systems
✅ OHIF Viewer customization for radiology workflows
I don't just build features — I design, deliver, and support complete production systems.
🧠 Core Technical Expertise
🏗️ Backend Development
Python, Django, FastAPI
REST APIs, Microservices, Docker, Kubernetes
PostgreSQL, Redis, Celery, OAuth
☁️ Cloud, Deployment & DevOps
AWS, Azure, GCP
Ubuntu servers & on-prem hospital infrastructure
CI/CD: GitHub Actions, GitLab CI, Jenkins
Infrastructure as Code: Terraform, Ansible
Monitoring: Prometheus, Grafana, ELK, CloudWatch
🩺 Healthcare, Medical Imaging & Radiology
Radiology AI backends — PACS to diagnostic workflow integration
PACS & DICOM Infrastructure (Orthanc, dcm4chee, OHIF Viewer v3)
OHIF Viewer (v3) customization, Cornerstone.js, and VTK.js for 2D/3D rendering.
CT, MRI, X-Ray, Ultrasound workflows
AI-based image classification & triage
Secure hospital ↔ cloud / on-prem connectivity
AI-generated radiology & medical reports
HIPAA-ready handling of PHI data
Medical imaging AI pipelines (pynetdicom, pydicom)
🔐 Security & Compliance (HIPAA & ISO)
Healthcare-grade application security
HIPAA Compliance & ISO-aligned architectures
OWASP Top 10 hardening
Data encryption: AES, RSA, TLS
Secure audit logs, API gateways & firewall-aware design
📊 Selected Highlights
✔ Built AI-powered PACS-integrated medical imaging platforms
✔ Delivered full-stack healthcare dashboards used in production
✔ Improved backend throughput by 40%+
✔ Deployed systems on cloud and on-prem hospital environments
✔ Reduced deployment time by 50% using CI/CD automation
✔ Led security hardening for healthcare-grade compliance
Steps for completing your project
After purchasing the project, send requirements so Shah E Rome can start the project.
Delivery time starts when Shah E Rome receives requirements from you.
Shah E Rome works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Client purchases the gig and shares project details (features, scope, cloud preference, AI needs).