Systems architecture · Applied AI · Business systems

Reliable AI for the systems organizations depend on.

I’m Hadi Yaqoobi, a business systems analyst and solutions architect. I design architecture, write Python and SQL, and build integrations that connect technical decisions to business needs.

Working on enterprise authentication, data pipelines, and AI-assisted reporting has led me toward a research question: how can AI take on more responsibility in a workflow while keeping outcomes reliable and people meaningfully in control?

Research interests

From a useful model to a dependable system.

I’m interested in the technical and organizational decisions that make AI useful in everyday operations.

Reliable execution

How agents verify what happened across APIs and databases, then recover from incomplete or uncertain operations.

Effective human oversight

When a system should ask for help, what a reviewer needs to see, and whether that interaction improves the outcome.

Enterprise AI transformation

How existing infrastructure, data, permissions, and workflows can evolve to support AI and measurable business value.

Practice informing research

Building the foundations for AI at AHRC.

At the Afghanistan Human Rights Center, I lead a five-person team and take responsibility for technology infrastructure and systems architecture. I’ve helped move fragmented tools and manual processes into shared infrastructure, connected data, and AI-assisted workflows.

That work gives me a practical starting point for studying how infrastructure, integration, and human oversight shape the value of AI.

Explore the transformation case

Continue the conversation

Let’s talk about reliable AI systems.

I’d welcome conversations with researchers and practitioners working on AI agents, systems reliability, and the organizations that use them.