Summary
Leo Romanovsky is a Staff Software Engineer with 14 years of experience building large-scale, data-driven systems across Datadog, Eppo, Slack, Uber, Strava, and Cisco. He specializes in turning ambiguous, high-stakes problems into production-ready platforms—ranging from A/B experimentation on Snowflake/BigQuery/Redshift to multi-datacenter data infrastructure and ML data indexing for autonomous vehicles. Known for delivering mission-critical products, he blends hands-on engineering with technical leadership to enable teams to ship robust, privacy-conscious solutions. Based in New York, he brings deep distributed-systems and data-infrastructure expertise and a knack for making complex back-end capabilities accessible to product and ML teams. An uncommon detail: he’s repeatedly tackled projects that required rethinking data movement and governance to win enterprise customers and scale ML workflows.
14 years of coding experience
13 years of employment as a software developer
BS Computer Engineering, BS Computer Engineering at Purdue University