Naian Sai is an AI Cloud Software Engineer with 11 years of experience designing high-performance, data-driven systems and a strong track record at Intel building Retrieval-Augmented Generation pipelines, vector search integrations, and benchmarking indexing strategies like ScaNN and HNSW. He spans the full stack—from tuning vector indices and embedding workflows to scaling cloud backends and profiling hardware impacts on large-scale workloads—combining hands-on engineering with systems-level performance analysis. His background in HPC cluster tools and experiment-driven power/resource efficiency studies gives him a pragmatic edge when optimizing real-world AI infrastructure. Based in Sunnyvale, he is passionate about applying AI to sustainability and seeks opportunities where technical rigor meets environmental impact.
10 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.), Computer Software Engineering, Master of Science (M.Sc.), Computer Software Engineering at The University of Texas at Dallas
Bachelor of Technology (B.Tech), Computer Science, Bachelor of Technology (B.Tech), Computer Science at Amrita Vishwa Vidyapeetham, Coimbatore
High School, High School at National Public School
DAI/DS (Data Access Interface and Data Store) is a data-centric framework supporting a suite of domain-specific adapters that organizes data gathered from components. The data store is a multi-tier "container" that hosts data defined by UCS (Unified Control System) and made available to components.
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Naian Sai - AI Cloud Software Engineer at Intel Corporation