Nader Shaterian

I don’t experience my life as a linear career. I experience it as a series of system failures — and recoveries.

In the mid-1990s, everything I had built collapsed at once. Businesses, property, stability, identity. I was forced back to zero. Shortly after, a serious car accident marked a second rupture — physical and existential. From that point on, my life split into two versions: before, and after.

The “after” version chose rebuilding over bitterness.

Unable to rely on my body, I turned to learning. I studied mechanical engineering and information systems not to collect credentials, but to understand how systems fail, how they recover, and how resilience can be designed. That question has stayed with me ever since.

At UC Berkeley, I was exposed early to distributed systems, network recovery, and self-healing architectures. I explored education technologies not because they were lucrative, but because I believed — and still believe — that education is the only lever capable of changing human trajectories at scale.

My professional work took me through large-scale enterprise systems, early platform and SaaS-like models, national IT leadership roles, and the design of e-learning infrastructures for global organizations. I was often early — sometimes uncomfortably so — to shifts that later became obvious: centralized platforms, e-learning, automation, social systems moving online.

Over time, I also learned something equally important: when systems grow without humanity, they harm people.

Each time that line was crossed, I stepped away.

After a profound personal loss, I withdrew from conventional career structures and rebuilt myself through making and art — painting, sculpture, wood, stone, cooking. Material intelligence became a way to integrate what abstraction alone could not. Creation itself became a method of restoring coherence.

That path led me back to education through Fab Labs. Through School Fab Labs, global Fab Lab initiatives, platforms, and grants, I worked to make tools, knowledge, and creative agency accessible where people live. Fab Labs became a human-scale response to systemic fragility: learning by making, dignity through skill, resilience through community.

As AI emerged, something finally resolved.

For the first time, the friction between human thought and complex systems began to dissolve. Conversational intelligence made it possible to externalize knowledge, memory, and structure — not to replace humans, but to extend them.

That convergence is what I am now building through Shatarian.

Shatarian is a human-centered systems projentegrating AI, education, Fab Lab ecosystems, art, and networks. Its purpose is simple and demanding: to reduce friction between people and the systems they must navigate, and to design tools that recover from failure while preserving meaning.

Everything I have built lives inside that question.