name: "ĐINH HOÀNG SÁNG (ENG.DINH)"
role: "Healthcare IT Developer — LIS & Medical Integration"
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)"
- "Clinical tools & healthcare software"
- "Agentic Engineering — Orchestrating autonomous AI workflows to accelerate development"
- "TradingView indicators & quantitative scripts"-
2017 — 2021 | 🎓 University Foundation
4 years of Academic Excellence
Studied B.Eng Biomedical Engineering (VNU-HCM). Specialized in AI-driven Image Processing and medical informatics. -
2021 — 2021 | 💡 AI Development Internship
Gaining Real-world Expertise
Interned in a dedicated AI development team, focusing on Deep Learning models and automated clinical diagnosis. -
2021 — 2022 | 🤖 AI Engineer
Professional Growth
6 months of intensive work in AI development, creating computer vision solutions for clinical research and diagnostics. -
2022 — Present | 🏥 Healthcare IT & Systems Engineer
3+ Years of Senior Experience
Currently driving integration at a leading Medical Device Company. Expert in LIS development, HL7/ASTM protocols, and lab analyzer connectivity.
2022
| # | Course | |
|---|---|---|
| 1 | Python Project for Data Engineering |  |
| 2 | Introduction to Data Engineering | |
| 3 | Introduction to Docker : The Basics | |
| 4 | AI for Medical Prognosis | |
| 5 | Python Data Structures | |
| 6 | Programming for Everybody (Getting Started with Python) | |
| 7 | Linux and Bash for Data Engineering | |
| 8 | Python for Data Science, AI & Development | |
| 9 | Build a Data Science Web App with Streamlit and Python | |
| 10 | Hyperparameter Tuning with Keras Tuner | |
| 11 | Deep Learning with PyTorch : Object Localization | |
| 12 | Deep Learning with PyTorch : Generative Adversarial Network | |
| 13 | Data Visualization using Plotly | |
| 14 | Deep Learning with PyTorch : Image Segmentation | |
2020
| # | Course | |
|---|---|---|
| 1 | Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization | |
| 2 | Neural Networks and Deep Learning | |
| 3 | Convolutional Neural Networks | |