Sirish Chejerla is a pragmatic software engineer with 8 years of experience building high-throughput backend systems, distributed services, and cloud-native infrastructure for telecom and enterprise platforms. He has delivered production-grade microservices and event-driven architectures at scale—synchronizing 150,000+ subscriber profiles, supporting hundreds of thousands of interactions, and optimizing systems for thousands of concurrent requests using Java, Spring Boot, Kafka, Kubernetes, and AWS. His work spans performance tuning, reliability engineering, and operability—resolving JVM and concurrency issues, optimizing databases, and automating CI/CD and monitoring to keep mission-critical services stable. He’s also applied AI/LLM tooling and RAG-based log analysis to speed debugging and improve observability across distributed environments. Comfortable moving between Java and Python, he builds cloud automation and high-concurrency workflows (FastAPI, Terraform, EKS) that make systems easier to scale and maintain. Based in Allen, Texas, he pairs an MS in Computer Science with hands-on experience at Genesys, Dell, Paychex, and Capgemini, and a continual curiosity for AI infrastructure and distributed systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Amrita Vishwa Vidyapeetham
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Purdue University Northwest
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