Reliable execution
How agents verify what happened across APIs and databases, then recover from incomplete or uncertain operations.
Systems architecture · Applied AI · Business systems
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
I’m interested in the technical and organizational decisions that make AI useful in everyday operations.
How agents verify what happened across APIs and databases, then recover from incomplete or uncertain operations.
When a system should ask for help, what a reviewer needs to see, and whether that interaction improves the outcome.
How existing infrastructure, data, permissions, and workflows can evolve to support AI and measurable business value.
Practice informing research
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 caseContinue the conversation
I’d welcome conversations with researchers and practitioners working on AI agents, systems reliability, and the organizations that use them.