Three countries. One direction.
I grew up in southern Persia — a region shaped by industry, warmth, and an unspoken rule that certain paths weren't for women. I refused to accept that.
From an early age I was drawn to systems thinking — understanding how things work, why they fail, and how to make them better. That curiosity became the foundation of everything that followed.
I had a relentless drive to go where the hard problems were, to work in rooms where people didn't expect someone like me.
I moved to Oman and built a career inside one of the most demanding industrial environments on earth — ports, water utilities, and energy companies.
At Integrated Clause Company, I designed management systems, built Power Apps tools, led audit programs, and delivered technical proposals for major clients across the Sultanate.
I didn't just survive it. I thrived — rising to AI & Technical Lead.
The biggest leap: to the UK to pursue a Master's in Artificial Intelligence and Machine Learning at Liverpool John Moores University.
Not to leave engineering behind — but to bring intelligence into it. The same principles that make great systems — measurable, repeatable, improvable — are the principles of great machine learning.
My industrial background gives me something rare in AI: genuine domain knowledge of what reliable and auditable actually means when failure has real consequences.
The goal is clear: build production AI systems for domains where quality and safety are non-negotiable.
Not just AI that performs well in a notebook — but AI that is observable, auditable, and reliable enough to deploy in real industrial environments.
The journey continues.
"ISO standards taught me that good systems are measurable, repeatable, and improvable.
Machine learning taught me the same thing — at scale."