Sabber Ahamed

I’m an applied ML scientist with a PhD in geophysics, and I’ve spent nine years extracting hidden state from noisy signals. At Toyota, I worked on on-device LLM deployment; at Bridgestone, computer-vision defect detection; and at Sirona Medical, CNN-based radiology diagnosis. I built Ontor solo across iOS, Android, macOS, and Windows in about 2.5 months, with two sales pilots committed and three coaches now piloting it. I also won first place at the 2026 Health Wildcatters Texas Healthcare Challenge. Ontor uses natural voice to detect when someone’s state (nervous system) shifts, suggests a re