Summary
Scott Reynolds is a Staff Software Engineer based in San Francisco with 15 years of experience designing and delivering large-scale AI and data systems. He blends deep backend expertise in Java, Scala, and Python with big data platforms like Spark, Hadoop, HBase, and Cassandra to drive production-ready ML and analytics workloads. After a decade-long technical leadership role at Twilio, he now contributes at Databricks, focusing on scalable data and AI infrastructure. His MS in Computer Science underpins a pragmatic, research-informed approach to solving complex distributed systems problems. Known for being goal-driven, he often bridges research ideas and production constraints to make ambitious AI projects operational.
15 years of coding experience
10 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at University of Cincinnati
University of Dayton