Ashish Bansal is a Principal ML Research Engineer at Vanguard, where he leads the design and development of enterprise-scale AI systems spanning machine learning, deep learning, NLP, and generative AI. He focuses on building production-grade LLM platforms, agentic systems, and high-throughput inference infrastructure serving millions of daily requests. His work bridges research and engineering to deliver scalable, reliable AI solutions for enterprise applications. Ashish has extensive experience building RAG pipelines, speech analytics systems, and custom model-serving infrastructure, including vLLM-based deployments and unified inference platforms. He is a published researcher with work on CALM, a cost-efficient LLM deployment framework, and contributes to optimizing large-scale AI systems for latency and cost. He collaborates across engineering, product, and research teams and serves as a peer reviewer for ACM, AAAI, and IEEE venues.