Summary
Naman Khurpia is a Senior AI Engineer based in Buffalo with 8 years of experience building production AI systems spanning LLMs, NLP, automation, and multi-GPU model deployments. He designs agentic AI and RAG pipelines for insurance and fintech, focusing on reliable unstructured data extraction, fine-tuning, evaluation frameworks, and runtime guardrails. At Ushur he progressed from AI Engineer to Senior AI Engineer, delivering chatbot automation with long- and short-term memory, voice AI pipelines, and tool-enabled agent workflows. His background includes large-scale transactional systems at TCS and hands-on experience across Android, Angular, and Spring Boot, giving him a strong full-stack and systems perspective. An active open-source contributor (Easy-open-ai), he blends research-minded rigor with pragmatic production engineering to make LLMs dependable in real-world workflows. Colleagues note his knack for turning complex evaluation and deployment challenges into scalable, auditable solutions.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 8.50, Bachelor of Technology - BTech, Computer Science, 8.50 at Vellore Institute of Technology
Master of Science in Computer Science specialization in Artificial Intelligence, Computer Science, 3.83/4, Master of Science in Computer Science specialization in Artificial Intelligence, Computer Science, 3.83/4 at University at Buffalo