Summary
Agnivo Saha is a director-level engineering leader with 11 years of experience building high-performance, cloud-ready database systems at Oracle, now leading teams that enable vector indexing for Generative AI and advanced indexing/storage engines. He has driven design and delivery of strongly consistent, highly available, and elastically scalable storage and processing engines, plus features like In-memory Join Group, fast ingest, and specialized compression for streaming workloads. His work spans algorithm design—consistent backup/restore, replica shipping, garbage collection—and systems engineering that materially improved Oracle’s dual-format in-memory columnar architecture. A top IIT Kharagpur graduate (9.73/10), his early research tackled dependency parsing for low-resource Indian languages, reflecting a longstanding interest in ML and language technologies. Based in Belmont, CA, he combines deep hands-on systems craftsmanship with product-minded leadership, bridging database internals and emerging AI use cases. Colleagues note his knack for turning complex distributed algorithms into robust, production-ready features.
11 years of coding experience
10 years of employment as a software developer
BTech Computer Science Engineering, BTech Computer Science Engineering at Indian Institute of Technology, Kharagpur
English, German, Bengali