Turning operations into software
Converting operational know-how, messy data, and tacit assumptions into tools teams can open up, check, and rely on.
Nicael Jooste
Digital Water Systems & Platform Engineering
Internal Platforms · Digital Twins · Governed AI
I turn deep water-domain knowledge into software teams can actually run: reusable internal SDKs and APIs, decision-support tools that show their assumptions, and simulation workflows. I move fast from idea to working tool. I care that it gets used and maintained, not just demoed.
System pattern
How operational knowledge becomes maintainable software.
Public-safe system pattern
inspectable by designOperational context
Typed interfaces
Validation gates
Decision support
Focus
What I work on
Problems that are too domain-specific to buy whole, but too important to leave as one-off analysis.
Building reusable foundations
Shared SDKs, typed APIs, and delivery practices that outlast any single project, so the next build starts further ahead.
AI with accountability
AI-assisted workflows that speed up delivery while keeping human judgment and validation in the loop.
Helping data teams grow
Coaching engineers and connecting domain experts, data-platform teams, and leadership as a data capability scales.
Portfolio
Selected work
Most of it lives inside infrastructure organizations, so here are the patterns that carry over.
Digital-twin concepts for water operations
Workflows for telemetry, lab context, scenarios, replay, and validation, shaped so a utility can own and maintain them.
Internal SDKs and data foundations
Shared Python interfaces that make governed data usable in analysis, apps, and automation, now adopted across a growing data team.
Governed AI adoption
Generative AI taken from first experiments to an organization-wide rollout, with review and accountability kept visible.
Proof
Public references
A few public reference points for the sector work behind the case studies.
Contact
Start a conversation
I'm open to conversations about digital water, internal platforms, AI-assisted engineering, and decision support for infrastructure teams.