Ravi Shankar · Applied AI Engineer
My work has long lived in Applied AI—turning models into useful, reliable systems. Increasingly, I am going deeper into core AI and machine learning: the mathematics, architectures, and ideas beneath the applications.
Professional work
Where AI has to leave the demo and become dependable infrastructure.
I build AI in real systems, where scale, reliability, observability, and practical usefulness matter as much as the model itself. This is where my interest in Applied AI is tested against the complexity of production.
About SalesforceLearning & teaching
Understanding modern AI from first principles—and teaching it clearly.
Kavriq explores the mathematics, models, and software systems behind modern AI through structured learning paths, engineering references, essays, and video.
Open-source engineering
A precise visual language for mathematical and AI explanations.
Murali is a JavaScript-based animation system. It combines deterministic timelines with modern web rendering to create mathematical lessons and AI explainers.
Explore MuraliRoots & culture
Looking at an old land with fresh eyes.
A celebration of Bihar’s people, places, history, food, and living culture—telling richer stories about where I come from and helping those stories travel.
Discover BiharIndia’s future
Ideas worth preserving beyond the urgency of the present moment.
A long-view civic journal of constructive ideas, structural blueprints, and questions worth carrying into India’s future. It is a place for proposals, scrutiny, and revision.
Read the journal