PintarMenjaga
An AI-based smart asset management platform focused on digital portfolio optimization, developed collaboratively as an exploratory side project with BINUS University peers.
Overview
PintarMenjaga is an AI-based smart asset management platform designed to support digital portfolio optimization in Indonesia.
The project was developed collaboratively with fellow BINUS University peers as an exploratory and learning-driven initiative focused on combining financial technology concepts with AI-powered analysis and recommendation systems.
Responsibilities
- Collaborated on translating product concepts into structured UI and frontend architecture.
- Sliced design systems into reusable and maintainable frontend components.
- Integrated frontend applications with backend services and cloud infrastructure.
- Participated in feature planning and collaborative development workflows.
- Contributed to implementation of:
- Asset management systems
- Dashboard and analytics interfaces
- Notary finder functionality
- AI-powered risk analysis
- Recommendation and reporting systems
Tech Stack
- React
- TypeScript
- AI Integration
- Cloud Infrastructure
- Frontend Engineering
Impact
The project served as both a technical exploration and collaborative learning experience while demonstrating how AI-driven systems could support financial and asset management workflows.
Key contributions included:
- Structuring scalable frontend architecture
- Improving usability of financial dashboard interfaces
- Integrating AI-assisted recommendation workflows
- Supporting cloud-connected application infrastructure
Key Takeaways
This project strengthened experience in:
- Collaborative product development
- Frontend architecture and component systems
- Integrating frontend applications with backend APIs
- Designing AI-assisted user experiences
- Building experimental technology products in team environments