AI systems architecture & agentic engineering
Agent workflows with durable context, specialist responsibilities, and explicit human authority.
About Hadi Mulia
AI Product & Systems Engineer. Singapore. AI Engineer at Atos.
I build AI product systems: the interfaces people use, the agent workflows behind them, and the tools that make the work sustainable.
My background spans digital visual effects, software testing and automation, product engineering, and AI systems. That mix is visible in the projects: native desktop tools, interaction and motion work, agent orchestration, and verification of what a system actually did.
I am currently an AI Engineer at Atos. My public portfolio describes that role at a broad level; the detailed examples here come from personal projects and the published Fantopy contribution record.
What I work on
Product taste & experience design
Interface architecture, design systems, motion, and the details that make a product understandable.
Full-stack AI product engineering
Connecting the product surface to data, services, and the workflows people already use.
Systems thinking & architectural reasoning
Finding ownership, dependencies, and failure boundaries across a whole system.
Developer platforms & AI-native tooling
Native tools and portable working methods for developing with agents.
Technical research & cross-domain synthesis
Source-linked research notes that connect models from other domains to engineering questions.
AI assurance & governed autonomy
Scoped permissions, observable execution, and checks against the environment's actual state.
How to read the record
Public code and products sit alongside personal accounts of private work. The evidence page identifies which is which, the scope of each claim, and what a public reader can inspect.
Inspect the evidence and its limits