Building the bridge between medical devices, clinical data and intelligent systems.
Healthcare Integration Engineer specializing in LIS, medical device connectivity, Mirth Connect, HL7/ASTM interfaces, and Bio-Rad QC/URT workflows.
"Bridging the gap between raw machine signals and clinical decisions."
graph LR
A([🏥 Medical Analyzer]) -->|ASTM / HL7 / Serial| B{{⚙️ Mirth Connect}}
B -->|Integration| C[(📊 LIS / QC / URT)]
C -->|Data Validation| D[🧠 AI Insight]
D -->|Actionable| E((✨ Better Care))
| Area | Devices / Systems |
|---|---|
| Urinalysis | Analyticon Urilyzer 100 Pro, 500 Pro, Auto |
| Chemistry | Furuno CA270, CA400, CA800; EXIAS e|1; Elitech analyzers |
| Hematology | Nihon Kohden MEK9100, MEK7300, MEK13xx (certified) |
| Renal Replacement | Baxter Prismaflex, PrisMax |
| QC / URT | Bio-Rad QC / URT management system integration |
| Multi-vendor | Broad hands-on experience connecting Bio-Rad and other laboratory analyzers into quality management workflows |
name: "ĐINH HOÀNG SÁNG (ENG.DINH)" role: "Healthcare Integration Engineer" focus: "LIS • Medical Device Connectivity • Mirth Connect • HL7/ASTM • QC/URT • Agentic AI" mission: "Building the bridge between medical devices, clinical data and intelligent systems" location: "Ho Chi Minh City, Vietnam 🇻🇳" education: "B.Eng Biomedical Engineering — International University (VNU-HCM)" experience: "3+ years" what_i_do: - "LIS software development & lab analyzer connectivity" - "Mirth Connect integration — HL7/ASTM/FHIR channels" - "Medical device interfacing (analyzers, POCT, serial/TCP)" - "Connecting multi-vendor laboratory analyzers into Bio-Rad QC/URT systems" - "Clinical tools & healthcare software" - "Applied agentic AI for healthcare integration workflows" - "TradingView indicators & quantitative scripts"
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2017 — 2021 | 🎓 Biomedical Engineering Foundation
Studied B.Eng Biomedical Engineering at VNU-HCM, with a focus on medical informatics, image processing, and clinical technology systems. -
2021 — 2021 | 💡 AI Development Internship
Worked on deep learning and computer vision workflows for clinical diagnosis and medical image analysis. -
2021 — 2022 | 🤖 AI Engineer
Built computer vision solutions for clinical research and diagnostic support, bridging biomedical knowledge with applied AI engineering. -
2022 — Present | 🏥 Healthcare IT & Systems Engineer
Driving integration at a leading Medical Device Company, connecting laboratory analyzers to LIS, QC, and URT systems through HL7/ASTM, serial/TCP, and Mirth Connect workflows.
Healthcare Integration Architecture
- Devices:
Analyticon Urilyzer•Furuno CA270/400/800•EXIAS e|1•Nihon Kohden MEK•Elitech•Baxter Prismaflex/PrisMax•Bio-Rad- Protocols:
ASTM E1381/E1394•HL7 v2.x•FHIR R4•TCP/IP•RS-232- Middleware:
Mirth Connect•Python•FastAPI•SQL Server•Bio-Rad QC/URT- Intelligent Systems:
Agentic AI•Clinical NER•Automation•Data Validation
🛠️ Comprehensive Tech Stack (Click to expand)
Integration & AI:
Mirth Connect
HL7 v2.x
FHIR R4
ASTM
PyTorch
OpenCV
Languages:
Python
JavaScript
TypeScript
Pine Script
Backend & Web:
FastAPI
React
Node.js
PostgreSQL
Tools:
Docker
Cursor
CLAUDE
Codex
AntiGravity
📜 Certifications
2026
| # | Course | |
|---|---|---|
| 1 | AI Agents and Agentic AI with Python & Generative AI | VIEW |
2022
| # | Course | |
|---|---|---|
| 1 | Python Project for Data Engineering | VIEW |
| 2 | Introduction to Data Engineering | VIEW |
| 3 | Introduction to Docker : The Basics | VIEW |
| 4 | AI for Medical Prognosis | VIEW |
| 5 | Python Data Structures | VIEW |
| 6 | Programming for Everybody (Getting Started with Python) | VIEW |
| 7 | Linux and Bash for Data Engineering | VIEW |
| 8 | Python for Data Science, AI & Development | VIEW |
| 9 | Build a Data Science Web App with Streamlit and Python | VIEW |
| 10 | Hyperparameter Tuning with Keras Tuner | VIEW |
| 11 | Deep Learning with PyTorch : Object Localization | VIEW |
| 12 | Deep Learning with PyTorch : Generative Adversarial Network | VIEW |
| 13 | Data Visualization using Plotly | VIEW |
| 14 | Deep Learning with PyTorch : Image Segmentation | VIEW |
2020
| # | Course | |
|---|---|---|
| 1 | Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization | VIEW |
| 2 | Neural Networks and Deep Learning | VIEW |
| 3 | Convolutional Neural Networks | VIEW |