/* about */
About Me
I am a second year Computer Science student at Jaypee Institute of Information Technology, Noida. I prefer building systems from first principles over importing libraries. When I implemented a neural network in pure NumPy, I wrote every forward pass, every gradient, every weight update by hand. That is how I learn.
My current work sits at the intersection of deep learning and healthcare. I have built a brain MRI tumor classifier using transfer learning on ResNet-50, and a sepsis early warning system that predicts onset from ICU time-series data on a 43:1 imbalanced dataset.
Longer term, I am interested in quantitative finance and stochastic modeling. My Monte Carlo neutron transport simulation in C++ reflects that direction: probability theory, numerical methods, and large-scale stochastic computation.
Right now I am focused on PyTorch, reinforcement learning, competitive programming in C++, and deepening my understanding of probability and linear algebra.