AKHAN.

I work at the intersection of applied AI, data science and high-consequence domains: I ground my models in real sources so every answer can be verified and nothing is hallucinated. I proved it in health and aviation, two fields where an error has real consequences; the method, however, transfers to any field with rules of its own.

My projects span very different industries: pharmacy, aviation medicine, VR education and infrastructure. In each one I studied the regulation and worked with its specialists before writing code. What carries over from one project to the next is not the subject but a habit of continuous learning that lets me reach real depth in each field.