Summary
Mahendra Kumar is a founding architect and seasoned systems engineer with 12 years of experience building scalable, observability and real-time data platforms from startup to enterprise. Based in Austin, he led architecture and implementation of large-scale streaming and anomaly-detection systems at Expedia and now designs Observo.ai’s observability stack to minimize noise and maximize reliability. His background spans storage optimization at VMware, instrument control systems and SOA at Unity Scientific, and hands-on leadership roles at Rubrik and HomeAway, giving him deep expertise across distributed systems, data lineage, and performance engineering. He combines research rigor from a Ph.D. program at the University of Florida with practical product delivery, having shipped custom Spark libraries, Kafka streaming frameworks, and automated SPBM tooling. Known for mentoring engineers and translating complex requirements into reusable reference architectures, he thrives at the intersection of architecture, observability, and operational efficiency. A detail that stands out: he’s repeatedly turned prototype ideas—such as AI-driven triage and build-system rewrites—into production projects that improved team productivity.
12 years of coding experience
17 years of employment as a software developer
Indian Institute of Technology Roorkee
Ph.D. Computer Science, Ph.D. Computer Science at University of Florida
English, Hindi