At Indian Institute of Technology-Madras, I analyzed NetFlow traffic for behavioral modeling and anomaly detection. I explored temporal and graph-based representations, including GraphSAGE embeddings and edge prediction.
At Amvion Labs, I developed backend modules in Python and configured frontend views using XML. I also used SQL for data imports and automated attendance and salary reports.
I built RazorRecon, an automated financial reconciliation system that identifies transaction exceptions and prioritizes them by financial impact. Its AI-assisted analysis is grounded in reconciliation results and transaction evidence.
I'm researching financial knowledge graphs for LLMs, extracting facts and relationships from financial reports into Neo4j. As Vice President of Turingites, I organize technical events and lead sub-clubs in competitive coding and data analysis.
