At Indian Institute of Technology (IIT) Ropar, I’m contributing to the ISEA Phase-III project. Before that, at Indian Institute of Technology (BHU) Varanasi, I developed ACS-SegNet, a hybrid CNN–Transformer for histopathology tissue segmentation.
I evaluated the model on held-out test data and deployed it as a FastAPI inference service. I also built a web app that turns H&E histopathology images into masks, probability heatmaps, and overlays.
My projects include an LLM-based cash-flow controller with human approval before actions, and an AI document analyzer for summarization and Q&A. I’ve merged three pull requests into aiida-core, and a machine-learning aquaculture health-prediction system was published as a patent with the Government of India.
