Summary
Sriram Ramaswamy is an SDE II based in San Jose with a decade of hands-on experience building efficient, production-grade systems across cloud, edge, and ML domains. At AWS Redshift he has driven Zero-ETL, autonomics, and storage automation features that improved performance and reliability while modernizing test and codebases. He pairs systems-level engineering in Go and Node with neural-network work in Python/TensorFlow, having delivered end-to-end projects from data collection on Raspberry Pis to adaptive ML pipelines and automated tooling like a snapshot inspector and The Sentinel alert generator. Comfortable switching domains rapidly, he thrives on automating manual processes (one project cut checks from hours to seconds and another increased ML stack efficiency by orders of magnitude). He holds an MS in Computer Science from USC and brings a pragmatic focus on fast, low-touch solutions that adapt to changing inputs.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 3.66/4, Master of Science - MS, Computer Science, 3.66/4 at University of Southern California
Bachelor of Technology, Computer Science, 9.03/10 (3.76/4), Bachelor of Technology, Computer Science, 9.03/10 (3.76/4) at REVA University
English, French, Tamil, Kannada, Hindi, Sanskrit, Spanish