You will get Build Smart AI Chatbots & RAG Systems with GPT, LangChain, and Vector DBs

Shah E Rome W.Status: Offline
Shah E Rome W. Shah E Rome W.
4.8
Top Rated

Let a pro handle the details

Buy Machine Learning services from Shah E Rome, priced and ready to go.
Shah E Rome W.Status: Offline
Shah E Rome W. Shah E Rome W.
4.8
Top Rated

Let a pro handle the details

Buy Machine Learning services from Shah E Rome, priced and ready to go.

Project details

I’ll help you integrate AI/LLMs into your apps, from chatbots and assistants to semantic search and RAG pipelines. Using LangChain, HuggingFace, GPT, FAISS, Pinecone, and Weaviate, I design intelligent systems that provide accurate, context-aware responses.

Expect clean Python code, scalable backend integration, and seamless cloud deployment so your AI solution runs securely in production.

What’s Included:

✅ AI Chatbots & Assistants (GPT, Claude, Gemini)
✅ RAG pipelines (document Q&A, semantic search)
✅ LangChain, HuggingFace, FAISS, Pinecone, Weaviate
✅ API integration with FastAPI/Django/Flask
✅ Cloud-native deployment (AWS, Azure, GCP)
✅ Clear docs + Loom walkthrough
Machine Learning Tools
Apache Spark MLlib, Azure Machine Learning, BERT, Chainer, ChatGPT, fastText, GoLearn, Google AutoML, GPT-3, Keras, Mapr, Microsoft Power BI, Minitab, MLflow, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SQL, Tableau, TensorFlow, Tesseract OCR
What's included
Service Tiers Starter
$500
Standard
$1,500
Advanced
$3,000
Delivery Time 5 days 15 days 30 days
Number of Revisions
23Unlimited
Number of Model Variations
13
Number of Scenarios
13
Number of Graphs/Charts
01
Model Validation/Testing
-
Model Documentation
Data Source Connectivity
-
Source Code
4.8
15 reviews
87% Complete
13% Complete
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

TN

Tamara N.
4.00
Jun 27, 2026
CT blood vessel visualization

AA

Ahmad A.
5.00
May 21, 2026
DICOM Viewer 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.

SB

Sunshine B.
5.00
May 7, 2026
ML Model for Medical Use-Case X-Ray Focused

TN

Tamara N.
5.00
Feb 6, 2026
MRI Blood Vessel Visualization Timely, professional correspondence. Shared detailed information following feasibility check for the project.

TK

Tony K.
5.00
Jan 7, 2026
Senior Backend Engineer – Expose Secure API Endpoint in Existing Vercel App (FastAPI / Node / Clerk)
Shah E Rome W.Status: Offline

About Shah E Rome

Shah E Rome W.Status: Offline
Senior Python Engineer | PACS, DICOM, HIPAA | FastAPI Backend
100% Job Success
4.8  (15 reviews)
Islamabad, Pakistan - 4:35 am local time
Medical imaging and healthcare backends are complex — I make them production-ready.
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 the use case (chatbot, RAG, Q&A) + sample data.

Review the work, release payment, and leave feedback to Shah E Rome.