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ENG.DINH

ENG.DINH

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.

Typing SVG

🧬 From Device to Care

"Bridging the gap between raw machine signals and clinical decisions."

graph LR
    A([πŸ₯ Medical Analyzer]) -->|ASTM / HL7 / Serial| B{{βš™οΈ Mirth Connect}}
    B -->|Integration| C[(πŸ“Š LIS / QC / URT)]
    C -->|Data Validation| D[🧠 AI Insight]
    D -->|Actionable| E((✨ Better Care))
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πŸ”Œ Device Connectivity Experience

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

πŸ§‘β€πŸ’» About Me

name: "ĐINH HOΓ€NG SÁNG (ENG.DINH)"
role: "Healthcare Integration Engineer"
focus: "LIS β€’ Medical Device Connectivity β€’ Mirth Connect β€’ HL7/ASTM β€’ QC/URT β€’ Agentic AI"
mission: "Building the bridge between medical devices, clinical data and intelligent systems"
location: "Ho Chi Minh City, Vietnam πŸ‡»πŸ‡³"
education: "B.Eng Biomedical Engineering β€” International University (VNU-HCM)"
experience: "3+ years"

what_i_do:
  - "LIS software development & lab analyzer connectivity"
  - "Mirth Connect integration β€” 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"

πŸš€ My Professional Journey

  • 2017 β€” 2021 | πŸŽ“ Biomedical Engineering Foundation
    Studied B.Eng Biomedical Engineering at VNU-HCM, with a focus on medical informatics, image processing, and clinical technology systems.

  • 2021 β€” 2021 | πŸ’‘ AI Development Internship
    Worked on deep learning and computer vision workflows for clinical diagnosis and medical image analysis.

  • 2021 β€” 2022 | πŸ€– AI Engineer
    Built computer vision solutions for clinical research and diagnostic support, bridging biomedical knowledge with applied AI engineering.

  • 2022 β€” Present | πŸ₯ 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.


⚑ Tech Stack & Systems

Healthcare Integration Architecture

  • Devices: Analyticon Urilyzer β€’ Furuno CA270/400/800 β€’ EXIAS e|1 β€’ Nihon Kohden MEK β€’ Elitech β€’ Baxter Prismaflex/PrisMax β€’ Bio-Rad
  • Protocols: ASTM E1381/E1394 β€’ HL7 v2.x β€’ FHIR R4 β€’ TCP/IP β€’ RS-232
  • Middleware: Mirth Connect β€’ Python β€’ FastAPI β€’ SQL Server β€’ Bio-Rad QC/URT
  • Intelligent Systems: Agentic AI β€’ Clinical NER β€’ Automation β€’ Data Validation

πŸ› οΈ 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


πŸ“œ 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

πŸ“ˆ GitHub Stats


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