Summary
Selvaram Ganeshkumar is a Software Development Engineer II with 11 years of experience building large-scale data and streaming systems, currently on Amazon’s Lookout team in Seattle. He designs and ships high-throughput, low-latency pipelines that process billions of records per minute, and has driven measurable improvements like sub-5-second config propagation and rapid detection of unhealthy hosts. His background includes building sub-second OLAP analytics with Druid, Spark, and Hive at PayPal and real-time ingestion and monitoring platforms using Kafka, Mesos, and Riemann at startups. He combines strong systems and performance engineering (JMH micro-benchmarking, distributed health checks) with hands-on infra automation in AWS and Ansible. Notably, he automated edge POP validation to cut on-boarding by days and contributed architectures that power DDoS and FlashCrowd detection across Amazon’s edge network. He holds an MS in Computer Science from USC and brings a practical focus on observability, cost optimization, and maintainable code.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern California
Bachelor's Degree Computer Engineering, Bachelor's Degree Computer Engineering at Thiagarajar College of Engineering
English, Tamil