Nicael Jooste
Domain-driven software, data platforms, and applied AI for water infrastructure.
I turn operational water knowledge, fragmented data, and emerging AI capabilities into internal software systems people can inspect, trust, and keep improving.
Currently working on digital twins for drinking-water treatment and distribution, plus internal Python SDKs and shared data-access tooling.
Profile
I am strongest where the problem is not just writing code, but deciding what system should exist. My work combines water-sector process knowledge, data engineering, software delivery, and AI-agent leverage to turn ambiguous operational needs into usable internal platforms.
I care about systems that compound: shared SDKs, typed APIs, operational applications, documentation, validation gates, and AI-enabled workflows that improve judgment without hiding accountability.
Where I Work Best
Domain-to-Software Translation
Converting treatment processes, telemetry, lab data, asset context, and operational assumptions into software concepts teams can use.
Internal Platform Building
Building reusable Python SDKs, APIs, web applications, documentation standards, CI/CD practices, and shared data-access patterns.
AI-Assisted Delivery
Using agentic coding and AI-assisted workflows to accelerate implementation while keeping architecture, validation, governance, and domain judgment explicit.
Core Stack
Recent Work
Most of my work sits inside infrastructure organizations, where the hard part is connecting data, software, domain expertise, governance, and adoption into systems people can trust. The digital-twin work is the clearest example: not just a dashboard, but a platform direction for inspection, replay, scenarios, topology, metadata, and decision support.
Digital Twin Work for Drinking-Water Systems
Working on digital-twin patterns for drinking-water treatment and distribution, with treatment context, scenario logic, replay workflows, topology, reporting, and data-quality thinking.
Python Standardization & Internal SDKs
Building shared Python foundations for analytics and internal software, replacing fragmented scripts with reusable interfaces and clearer engineering practices.
Agentic AI Adoption & Governance
Helped shape practical use of ChatGPT, Microsoft Copilot, and agentic workflows through pilots, management briefings, policy input, and responsible-use discussions.
Operational Applications
Built internal web applications and dashboards that connect domain knowledge, data pipelines, cloud services, and user-facing workflows for infrastructure teams.
View workField Experience
Citizen science with local inhabitants
Phetchaburi River Basin, Thailand
A local monk participates in our water level monitoring effort by taking a daily photo of the river gauge. This helped explore the feasibility of community-based data collection using the Mobile Water Management app. Fun fact: the monks kept up their daily monitoring efforts for years after our project ended!
Let's talk
I am open to serious conversations about applied AI, internal platforms, digital twins, and decision-support systems for water and infrastructure teams.