Aravinth K

I'm developing Python experimentation pipelines for RL-driven test generation and defect analysis in scientific software through a remote research internship with the University of Illinois Urbana-Champaign.

My research covers Physics Induced Neural Networks and Scientific Machine Learning frameworks under the guidance of Saikat Dutta.

I built a multimodal AI redaction system that detects and removes sensitive information across documents, images, video, audio, and text. It combines YOLO, PaddleOCR, Whisper, Llama, and Azure deployment for context-aware inference.

I've also built a RAG-based virtual teaching assistant and a MERN medical centre automation platform supporting healthcare workflows for more than 1,000 students.