On ResearchPaperRAG, I built a multi-layer pipeline for analyzing gaps, trends, and contradictions across academic papers, using FastAPI, FAISS, and local HuggingFace embeddings.
I developed multi-provider LLM orchestration with key rotation and failover, and a React/TypeScript app with live pipeline status, citations, and report export.
For Tuberculosis Severity Detection, I built a PyTorch system that classified TB severity from chest X-rays with 76% accuracy. I also deployed a Flask platform for image upload, preprocessing, and severity prediction.
At INFOSYS, I modernized legacy IVR systems with natural-language query handling and intent-based routing. I’m a Computer Science undergraduate at Vellore Institute of Technology, with experience in machine learning, backend systems, and web development.
