I am a digital health product owner, trainer, HL7 FHIR specialists with 5+ years of combined clinical, product, and technical experience. I majored both in medical doctor, biomedical science, and computer science. As both medical doctor, biomedical, and computer scientist, I'm looking forward for high attention on how technology would benefit and bring positive impact to healthcare.

• Database :

• Exploratory Data Analysis & Automation :

• Machine & Deep Learning :

• Full Stack Web Programming :

• Python Web Application Framework : >>

• Android programming (Beginner) :

• Microservice Backend Programming :

• Package Delivery and Deployment:

• Project, Product Management Tools :

• Hosting service :

• Favorite IDE :

• Code on : > >

• Basic UI/UX Design with Prototyping :

• Cloud Computing / Hosting :

• Challenge / Data Source :
• NoSQL :
• Cloud Computing / Hosting :
• Javascript full-stack programming :
• Multiplatform Programming :
• Container :
• Favorite Reference :

Talking about Personal Stuffs:

• 🔭 I’m currently working as Digital Health Technologist, Product Owner, Data Scientists, Medical Doctor, and Academic Tutor.
• ⚡ I graduated with a degree in :
  • Master of Computer Science majoring in Data Science - Faculty of Computer Science, Universitas Bina Nusantara (2018-2019).
  • Medical Doctor - Faculty of Medicine, Universitas Pelita Harapan (2013-2019).
  • Doctor of Biomedical Science - Faculty of Medicine, Universitas Indonesia (2021-2024).
• 🌱 I’m currently nurture myself in Health informatics, Bioinformatics, Javascript based web programming, Multiplatform programming.
• 👯 I’m looking to collaborate on Genomics and Proteomics.
• 💬 My current research interests include Machine Learning and AI implementation in Health.
• 📦 Check this out :
  • Public Open Access:
    • SATUSEHAT Integration Library - Open Source SATUSEHAT Integration Laravel (PHP) Library using FHIR R4 Indonesia's Profile
    • IDeRare Pheno - Python open source phenotype analysis with FHIR and terminology support for ICD10, LOINC, SNOMED-CT, ORPHANET, OMIM, and HPO.
    • IDeRare - Open Source pipeline for automatically finding patient rare disease's mutation based on phenotype and genotype likelihood.
    • I3DR-Net - I3D with RetinaNet implementation for 3D Lung Nodule Detection in CT Scan Image, Ranked #1 state of the art (SOTA) for AI-based 3D Lung Nodule Classification & Detection in LIDC-IDRI dataset
  • Public health informatics and bioinformatics web application:
    • SNOMED-CT ECL XLSX Downloader - SNOMED-CT ECL to XLSX downloader using Public Ontoserver API (see disclaimer on page before using)
    • FHIR SATUSEHAT Digital Tutorial - FHIR JSON Generator to tutor SATUSEHAT resources implementation
    • Healthcare Facility Search - Healthcare facility search based on Sarana Information
    • IDeRare Pheno - FHIR API - Implementation of IDeRare Pheno library using FastAPI for parsing and convert terminology to HPO.
    • IDeRare Pheno - Interactive Web Apps - Implementation of IDeRare Pheno library as interactive web apps using Streamlit.
  • Private Repository :
    • IvanMD - Medical Record & Teleconsultation App with Appointment System (Web Apps & Android)
    • URLqr - Free URL Shortener with QR (without any ads, embedded analytics, number of clicks, and operating system)
    • Rising Star - House of Education and Music - Tutoring Services Website and Student Management System

📊 This Month I Spent My Time On:

From: 30 November 2024 - To: 30 December 2024

PHP                   16 hrs 15 mins  ████████████░░░░░░░░░░░░░   47.49 %
Blade Template        7 hrs 7 mins    █████▒░░░░░░░░░░░░░░░░░░░   20.82 %
Python                2 hrs 46 mins   ██░░░░░░░░░░░░░░░░░░░░░░░   08.11 %
Other                 1 hr 40 mins    █▒░░░░░░░░░░░░░░░░░░░░░░░   04.90 %
Text                  1 hr 39 mins    █▒░░░░░░░░░░░░░░░░░░░░░░░   04.83 %

📈 My GitHub Stats: