Machine Learning Engineer | AI Builder | Research Enthusiast
I am an AI and Machine Learning enthusiast passionate about building intelligent systems that solve real-world problems in healthcare, geospatial analytics, cybersecurity, and data-driven decision making.
I enjoy turning ideas into practical products through a combination of machine learning, software engineering, and research-driven development.
- π Based in Indonesia
- π€ Interested in Machine Learning, Artificial Intelligence, and Applied Data Science
- π§ Focused on building impactful solutions in:
- Healthcare AI
- Explainable AI
- Geospatial Intelligence
- Cyber Safety
- Real-world ML products
- π Currently learning more about:
- MLOps
- LLM applications
- AI system design
- Scalable deployment for ML products
- Python
- JavaScript
- TypeScript
- SQL
- Scikit-learn
- TensorFlow
- PyTorch
- Pandas
- NumPy
- Matplotlib
- Jupyter Notebook
- Next.js
- Node.js
- React
- Express.js
- PostgreSQL
- MongoDB
- Git
- GitHub
- GeoPandas
- Folium
- GIS-based analytics
- Data visualization tools
Secure and explainable multi-cancer classification platform designed to support intelligent and trustworthy health predictions.
A healthcare accessibility intelligence platform for discovering hospitals and analyzing healthcare reach using geospatial data.
AI-powered cyber safety platform for detecting suspicious messages, fake job scams, and malicious links with explainable insights.
Machine learning analysis of COVID-19 spread in Indonesia using clustering and logistic regression techniques.
A geospatial machine learning project focused on healthcare accessibility analysis and visualization.
Modern e-commerce supermarket platform built with a microservices-inspired architecture using Node.js and Next.js.
I am particularly interested in building systems that are not only technically strong, but also useful, interpretable, and socially impactful.
My long-term goal is to contribute to the development of AI solutions that improve accessibility, safety, and decision-making in critical domains.
- Building stronger end-to-end AI projects
- Improving model explainability and usability
- Developing production-ready ML applications
- Exploring intelligent systems for healthcare and public impact
- π§ Email: abrarrayhan8@gmail.com
- π» GitHub: Muhammadabrarrahyan2
I believe technology becomes meaningful when it is used to solve real problems, create access, and make intelligent systems more useful for people.