Available for InternshipInformatics UndergraduateAI & Web Development

I build practical digital products with code, data, and AI.

Focused on developing functional web applications, AI-assisted tools, and machine learning projects that solve real problems. Currently bridging software engineering, data workflows, and human-centered design.

Clean interfaces / useful systems / documented work

Currently focused onAI-assisted applicationsfull-stack web systemsmachine learning workflows
Indonesia
Open to Internship
Collaboration
View selected workGet in touchResume PDF / Updated 2026
Portrait of Lavina Arsya Aryanto

01 / Selected Work

Selected Work

Projects that define my technical direction

01 / 03

AI-Powered Healthcare Assistant interface preview

01 / Healthcare / AI

A healthcare education prototype that provides symptom guidance, AI chat, medication information, and emergency red-flag detection.

ProblemHealth information can feel scattered and hard to understand.
ApproachBuilt guided symptom, medication, and AI chat flows.
ImpactTurns healthcare education into a clearer support tool.
ReactTypeScriptGemini API
Role: Full-stack DeveloperYear: 2026
View project
PDF Insight AI interface preview

02 / Document AI

A document analysis application that allows users to upload PDF files, ask questions, review source references, and export generated reports.

ProblemReviewing long PDF documents takes time and context.
ApproachConnected upload, Q&A, source references, and reports.
ImpactHelps users understand documents faster and more clearly.
ReactFastAPIGroq APIPython
Role: Full-stack DeveloperYear: 2026
View project
Digital Transaction Fraud Detection interface preview

03 / Machine Learning

A machine-learning project using Random Forest to identify potentially fraudulent financial transactions and display model evaluation results.

ProblemTransaction anomalies need early and explainable detection.
ApproachTrained Random Forest and visualized model evaluation.
ImpactMakes fraud patterns easier to inspect and communicate.
PythonScikit-learnPandasStreamlit
Role: Data Analyst / ML DeveloperYear: 2026
View project

02 / Technical Philosophy

Technical Philosophy

As an Informatics undergraduate, I believe useful software is built by connecting implementation details with real user needs. I do not just write code; I design systems that solve specific problems and can be explained clearly.

My approach is iterative, data-aware, and documentation-driven. I am especially interested in AI-assisted applications, machine learning workflows, frontend development, backend development, and open-source documentation.

Turning academic ideas into functional, documented reality.

Core Stack

  • TypeScript / React
  • Python / FastAPI
  • Laravel / PHP
  • SQL databases

AI & Data

  • Gemini API
  • Groq API
  • Scikit-learn
  • Pandas / NumPy

Design

  • Responsive UI
  • Technical writing
  • Documentation
  • Product thinking

Tools

  • Git / GitHub
  • VS Code
  • Google Colab
  • Jupyter Notebook
01Informatics Undergraduate
02Google Cloud Skills Boost
03AI Capstone Projects
04Open-Source Contributions

03 / Available for new projects

Let's build something practical together.

I am open to opportunities where I can learn, contribute, and build useful digital products.