I'm Mayank, a solution architect who builds reliability, scalability & performance in and around AI systems. My route here was sideways. Electronics, then software engineering, then systems architecture, picking up machine learning along the way.
What I keep coming back to is the evidence layer. The craft is in the measurement and calibration. Saying precisely how well a system performs and where it stops. Most of what I write here is about that, and about bringing the same rigour to AI based systems.
New posts by RSS — I write when I have something worth writing, not on a schedule.