Portfolio / 2026

DLSA / Indonesia

Independent systems builder

Portfolio / 2026

Indonesia / UTC+7

Deep Learning SystemsArchitecture

I build tools for the work around deep-learning models: testing them, running them, tracing failures, and giving people a clear way to control them.

Current direction

Local, observable AI tooling.

Selected work
  1. 01 / The first proof

    A prompt goes in. An answer comes out. The demo works. The real engineering has not started.

  2. 02 / Reality enters

    What changed? Why did it fail? What did it cost? Can a person steer it?

  3. 03 / The actual work

    I work on evaluation, runtime behavior, memory, tooling, and the interface that lets a person inspect and steer the system.

How I make decisions.

Indonesia / UTC+7

JinXSuper / Jin

Independent systems builder

I stay with a problem after the demo: through edge cases, instrumentation, evaluation, and the moment someone has to decide whether the result deserves trust.

I prefer explicit trade-offs, quiet tools, and software that tells you what it is doing. Complexity does not need to disappear; it needs to be inspectable.

Working biasEvidence over spectacle. Explicit over magical.

01AI product lifecycle2026

My partSystem architecture, product direction, Rust implementation, and interaction model.

Rust · AI tooling · Systems design

02Education systems2026

My partProduct architecture, desktop experience, accessibility model, and TypeScript implementation.

TypeScript · Desktop · Accessibility

03Agentic development2026

My partArchitecture, native engine, memory model, and product implementation.

Rust · Svelte · Agent systems

Current stack / languages + ways of seeing the system

The engine, interface, and evidence need different tools. Rust handles native work; TypeScript and Svelte shape the product surface; evaluation, local memory, and observability keep the system understandable.

Hover, focus, or tap a tool to shift the focal plane.

01 / Native engine

For native engines, local runtimes, and the code paths where predictability and performance matter.

Available for systems work.

Indonesia / UTC+7

A benchmark that no longer reflects the product. A runtime with no useful trace. An interface that asks for trust before it earns it. Those are good places to start.

Send the messy version.

Email works best.