Informatics Engineering student at Universitas Pancasila, based in Jakarta.
My work sits in two halves that I am deliberately trying to join. On one side: backend services and full stack applications, where the concerns are correctness, state, and what happens when a request fails halfway through. On the other: applied deep learning, mostly scientific machine learning, where the concerns are formulation and evidence.
Open to internship and entry level software engineering roles, particularly where engineering and applied AI meet.
Digital wallet backend covering auth, top up, payments, peer to peer transfers and reporting. Transfers settle asynchronously through a background worker, so the request path stays fast and funds are never lost between two accounts. 26 passing tests.
Browser based markdown editor whose PDF export is driven by the browser's own print engine rather than a screenshot, with configurable paper size, margins and page break rules. Fully client side, nothing is uploaded.
My personal site, including an authenticated admin area that manages its own content.
Kolmogorov-Arnold Networks implemented from scratch. B-spline bases built from the Cox-de Boor recursion in pure PyTorch, then benchmarked against a parameter matched MLP under controlled conditions.
Replication of Raissi et al. (2019). Solves the forward PDE without a mesh, then recovers hidden viscosity and advection coefficients from sparse observations alone.
Offline first installable PWA for daily volleyball hitting practice. Layered service worker caching, Web Audio cues, Wake Lock, and streak tracking with export and import. No framework.
| Project | What it is | Stack |
|---|---|---|
| Hidden Fluid Mechanics | Reconstructs an unobserved pressure field from velocity data alone, supervised only by the Navier-Stokes residual | PyTorch |
| CatatStok | Desktop inventory management application, built as primary developer | Java, JavaFX, Maven |
| Bron-Kerbosch Visualizer | Step by step maximum clique visualizer with pseudocode highlighting and a live recursion stack | Python, Pygame |
- Building an AI integrated engineering project end to end: model, inference service, dashboard, container.
- Studying Japanese, working toward JLPT certification.
- Reading around scientific machine learning and its use in industrial and manufacturing settings.