Building intelligent systems at the intersection of Engineering, Mathematics, Computation, and Human Knowledge.
I'm fascinated by problems that don't fit neatly into equations.
My interests lie in understanding how intelligence emerges — whether in engineered systems, learning algorithms, markets, scientific discovery, or human knowledge itself.
I enjoy building systems that combine first-principles reasoning, mathematical modelling, machine learning, and software engineering to tackle complex real-world problems.
interests = {
"Scientific Machine Learning",
"Graph Representation Learning",
"Reinforcement Learning",
"Neural Operators",
"Scientific Computing",
"AI for Scientific Discovery"
}🧠 PRAMITI Preservation & Discovery Layer of Human Knowledge
🕸️ Graph Neural Networks for Industrial Defect Detection
