Abbott Diagnostics
Enterprise healthcare data science
Built an automated laboratory benchmarking product associated with about $1.8M in recurring revenue and later served as a Data Science Manager.
About GNS-AI
Built around AI, healthcare, decisions, uncertainty, and operating limits.
GNS-AI is led by Dr. Amit Shah and focuses on consequential AI in regulated environments. The work combines enterprise AI and data science experience with a long-standing research interest in how systems behave near their limits.
GNS-AI
Why this background fits
The through-line is decision-making near system limits.
The current product direction is not a generic AI-governance pivot. It builds on work across biomedical engineering, healthcare AI, enterprise data science, and boundary-based research.
Clinical AI
Healthcare product experience
Developed a clinical AI chatbot and recommender based on ASCO guidance while working with clinical experts.
Ph.D. Biomedical Engineering
Boundary-based research
Doctoral work studied safety margins, movement planning, and how behavior changes as systems approach less reliable regions.
Decision Control Plane
Product and IP development
GNS-AI has filed patent applications around DCP and related decision-control methods.
Have a regulated AI workflow that is hard to scale?
Start with one consequential decision and a fit call.