Nishant
Gurunath

Nishant is a data scientist and ML engineer with 5 years at Moody’s and a Master’s in Computer Engineering from Carnegie Mellon. He specializes in NLP, with experience in information extraction, fraud detection, and recommendation systems. His work spans traditional ML to advanced LLMs, with a focus on Transformer fine-tuning, RAG systems, and AI agents. He led the development of the AI Screening Agent, automating Level 1 KYC workflows with human-level accuracy. Nishant is skilled in Hugging Face, PyTorch, and Databricks, and regularly builds scalable, explainable ML systems on AWS. He is passionate about creating real-world AI solutions that deliver impact.