
Make intent observable.
I turn ambiguous product or model goals into screens, scores, logs, and workflows people can inspect.
Athilla Zaidan, AI @GDP Labs
Software and AI engineer from Institut Teknologi Bandung. I build intelligent systems from model design to production interfaces.
Profile
I work where machine learning, web systems, and operational tooling meet. The throughline is practical evidence: measurable model performance, resilient admin flows, and interfaces that make technical decisions legible.

I turn ambiguous product or model goals into screens, scores, logs, and workflows people can inspect.

Good systems reduce noise: domain rules, data movement, and user decisions should have a clear shape.

The interface has to feel considered, but the proof still comes from metrics, operations, and shipped behavior.

AI output, admin state, and risk signals only matter when they help someone understand what to do next.
Engineering range
Anomaly detection, NLP classification, environmental risk scoring, and verification workflows shipped as usable systems.
Registration, payments, dashboards, file workflows, multi-tenant operations, and admin tools for real events.
Operating systems, graph algorithms, desktop apps, and backend foundations built close to the machine.
Selected projects
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Operating history
GDP Labs
Inkubator IT
StudentxCEOs Grandsummit 15th
TEDxITB 9.0
IT Aku Masuk ITB 2026
Build something real
Reach me for technical collaboration, internships, or project conversations. Source, profile, and resume are one step away.