Summary
Alekh Jindal is a data systems entrepreneur and research-driven engineering leader with 11 years of experience building large-scale query and optimization systems and now leading Tursio as CEO and co-founder to "turn data into intelligence." His background spans principal research and engineering roles at Microsoft—where he published multiple VLDB/SIGMOD/ICDE papers on learning optimizers, computation reuse, and workload-aware query planning—and postdoctoral research at MIT and Saarland focused on in-database graph analytics and adaptive partitioning. Alekh has repeatedly bridged deep research and production: designing scalable algorithms for subexpression selection and workload optimization that were deployed in massive cloud services. He combines startup grit (founding chief architect and CTO roles at Keebo) with rigorous academic training (PhD from Universität des Saarlandes and postdoc at MIT), making him fluent in both productization and publishing. Based in the Greater Seattle Area, he specializes in search over structured data and systems that let enterprises ask complex questions of their data. A less obvious strength is his consistent track record of turning theoretical optimizations into practical, datacenter-scale systems that materially reduce cloud query costs.
11 years of coding experience
12 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Universität des Saarlandes
Indian Institute of Technology Kanpur
Postdoc Computer Science, Postdoc Computer Science at Massachusetts Institute of Technology
Master of Science Computer Science, Master of Science Computer Science at International Max Planck Research School, Saarbruecken
Physics Chemistry Mathematics, Physics Chemistry Mathematics at St. Joseph's College, Allahabad