You will get HIPAA-Compliant AI & Private LLM Deployment for Healthcare
Project details
We design HIPAA-compliant AI architecture and private LLM deployment for healthcare, MedTech, and regulated digital health covering AI Act, GDPR, NHS DTAC, EU MDR, and SaMD across US, UK, and EU.
PHI handling, audit requirements, and explainability built in from day one. Private LLM on-premise or VPC, RAG pipelines for clinical knowledge bases, NLP for clinical notes, and zero-trust AI architecture aligned to HIPAA and AI Act.
Delivered for NHS Digital, Johnson & Johnson, and 25+ HealthTech startups worldwide.
What you get:
Private LLM deployment on-premise or VPC
RAG pipeline for clinical knowledge bases
HIPAA and GDPR compliant AI data flow and PHI handling
AI Act risk classification and SaMD assessment
Bias monitoring, explainability, and audit trail requirements
Zero-trust AI architecture for regulated environments
Development estimates and implementation roadmap
Relevant for clinical decision support, AI diagnostics, NLP for clinical notes, medical imaging AI, LLM-powered patient tools, telehealth AI, mental health platforms, and regulated AI in healthcare or MedTech.
PHI handling, audit requirements, and explainability built in from day one. Private LLM on-premise or VPC, RAG pipelines for clinical knowledge bases, NLP for clinical notes, and zero-trust AI architecture aligned to HIPAA and AI Act.
Delivered for NHS Digital, Johnson & Johnson, and 25+ HealthTech startups worldwide.
What you get:
Private LLM deployment on-premise or VPC
RAG pipeline for clinical knowledge bases
HIPAA and GDPR compliant AI data flow and PHI handling
AI Act risk classification and SaMD assessment
Bias monitoring, explainability, and audit trail requirements
Zero-trust AI architecture for regulated environments
Development estimates and implementation roadmap
Relevant for clinical decision support, AI diagnostics, NLP for clinical notes, medical imaging AI, LLM-powered patient tools, telehealth AI, mental health platforms, and regulated AI in healthcare or MedTech.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, BigDL, Deeplearning4j, Keras, MLflow, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$350
|
Standard
$600
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
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.
MLOps for Regulated Environments
(+ 1 Day)
+$200
Clinical NLP Pipeline Design
(+ 1 Day)
+$250
Private LLM Infrastructure Specification
(+ 1 Day)
+$300Frequently asked questions
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YL
Yuliia L.
Mar 20, 2026
AWS architecture expert for big data processing
Dmitry is an outstanding AWS and cloud architecture expert with strong experience in building secure, compliant, and scalable healthcare data platforms.
He played a key role in architecting our AI-driven telemedicine solution, including patient and doctor portals, as well as designing reliable data pipelines for clinical data ingestion and processing.
His expertise in AWS, big data processing, and healthcare infrastructure allowed us to efficiently handle large volumes of sensitive patient data while maintaining high performance and reliability.
Dmitry demonstrated a deep understanding of healthcare standards and compliance requirements, including GDPR and HIPAA, as well as best practices around PHI protection, secure data handling, and privacy-first system design.
He also provided valuable guidance on interoperability and data architecture, including approaches aligned with HL7 and FHIR-based systems and healthcare integrations.
His architectural thinking, attention to security, and ability to translate complex requirements into practical solutions were instrumental to the success of the project.
I would highly recommend Dmitry for any healthcare, AI, or compliance-driven project requiring robust AWS architecture, data engineering, and secure system design.
He played a key role in architecting our AI-driven telemedicine solution, including patient and doctor portals, as well as designing reliable data pipelines for clinical data ingestion and processing.
His expertise in AWS, big data processing, and healthcare infrastructure allowed us to efficiently handle large volumes of sensitive patient data while maintaining high performance and reliability.
Dmitry demonstrated a deep understanding of healthcare standards and compliance requirements, including GDPR and HIPAA, as well as best practices around PHI protection, secure data handling, and privacy-first system design.
He also provided valuable guidance on interoperability and data architecture, including approaches aligned with HL7 and FHIR-based systems and healthcare integrations.
His architectural thinking, attention to security, and ability to translate complex requirements into practical solutions were instrumental to the success of the project.
I would highly recommend Dmitry for any healthcare, AI, or compliance-driven project requiring robust AWS architecture, data engineering, and secure system design.
TR
Thomas R.
Jan 5, 2024
Confidential
Professional team.
TR
Thomas R.
Aug 11, 2023
FIGMA TEMPLATE UPDATE
Helpful in finishing the process. Job done succesfully.
VI
Veronica I.
Aug 10, 2023
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LH
Larry H.
Apr 15, 2023
React Native Frontend Developer
About Dmitry
HealthTech Engineer | Telehealth, EHR, FHIR, HL7 Compliance-by-Design
100%
Job Success
Manchester, United Kingdom - 8:44 am local time
I work with healthcare startups, clinics, and enterprise organisations on digital health software where getting compliance wrong isn't an option HIPAA, GDPR, NHS DTAC, EU MDR, FDA SaMD, and everything in between.
Shipped real systems for NHS Digital, Johnson & Johnson, Department of Health & Social Care, Oxford University Innovation, and Médecins Sans Frontières. Plus 25+ HealthTech startups across the US, UK, and EU.
🔸 What I Build
· Telehealth & telemedicine platforms
· Virtual care & video consultation
· Patient portals & digital front door
· Remote patient monitoring (RPM) & IoMT
· EHR/EMR systems & integrations
· Mental health platforms & CBT apps
· Digital Therapeutics (DTx) & SaMD
· AI/ML diagnostics & clinical decision support
· Population health & chronic care management
· Clinical trial tech (eConsent, eCOA, DCT)
· Pharmacy & medication management
· Rehabilitation & physical therapy platforms
· Women's health & FemTech
· AgeTech & eldercare
· Medical imaging & DICOM systems
· Wearables & connected devices
· Practice management software
· Revenue cycle & medical billing systems
🔹 Compliance & Regulatory
HIPAA · GDPR · SOC 2 · ISO 13485 · IEC 62304 · ISO 27001 · NHS DTAC · DCB0129 · DCB0160 · EU MDR · IVDR · FDA SaMD · MHRA · UKCA · Cyber Essentials · NIS2 · AI Act
I treat compliance as an architecture decision, not a checklist at the end.
🔸 Interoperability & Integration
HL7 · FHIR R4/R5 · SMART on FHIR · DICOM · IHE profiles · EHR/EMR connectivity Epic, Cerner, Allscripts · Healthcare APIs · Secure data pipelines · Real-world data and post-market surveillance
🔹 AI and Private LLM for Healthcare
Private LLM deployment, on-premise, VPC · HIPAA-compliant AI · Secure AI for regulated environments · Clinical NLP · LLM on private health data · RAG for clinical knowledge · AI diagnostics & triage · Computer vision in healthcare · Medical imaging AI · Predictive analytics · Federated learning · Zero-trust AI architecture · AI Act compliance · NLP for clinical notes · MLOps for regulated environments · AI for radiology and digital pathology
🔸 How I Work
I've worked directly with clinicians, compliance officers, and hospital IT teams so I understand what actually matters in production: audit trails, access controls, data residency, clinical workflows, and regulatory submissions.
Projects I take on go from architecture through to deployment. I don't hand off and disappear.
🔹 What You Get
- Software built for regulated healthcare from the first line of architecture
- Coverage across US, EU, and UK compliance frameworks
- FHIR/EHR integrations that actually work in production
- AI systems that keep PHI where it belongs on your infrastructure
- Someone who's done this before in real clinical environments
If you're building in healthcare and need it done properly send a message.
Steps for completing your project
After purchasing the project, send requirements so Dmitry can start the project.
Delivery time starts when Dmitry receives requirements from you.
Dmitry works on your project following the steps below.
Revisions may occur after the delivery date.
AI use case and compliance review
Review your AI use case, data flows, PHI exposure points, and applicable frameworks — HIPAA, GDPR, AI Act, or SaMD classification requirements.
AI architecture and LLM deployment design
Define private LLM deployment architecture on-premise or VPC, RAG pipeline for clinical knowledge bases, zero-trust security model, and PHI handling approach.