Summary
Ramya Sarma is a software engineer with a decade of experience building resilient, high-throughput distributed systems and cloud-native services, currently working on infrastructure for modern recommendation systems at Meta. She has deep AWS expertise from multiple roles at Amazon, where she designed control planes for Aurora/RDS PostgreSQL Multi‑AZ clusters, built a telemetry metrics service that scaled to 16M metrics/min, and enabled ML/GenAI experimentation by managing MLFlow on SageMaker. Proficient in Java, Python, TypeScript, C/C++ and PostgreSQL, she blends systems-level engineering with MLOps and automation to reduce operational cost and improve reliability. Ramya has a strong track record of end-to-end feature design—APIs, workflows, operational readiness and customer-facing documentation—across large, cross-team projects. She holds an M.S. in Computer Science from UMass Amherst and often surfaces non-obvious operational failure modes (stuck IO, config incompatibilities) into robust automated solutions. Based in San Francisco, she pairs cloud-scale engineering with hands-on problem solving that bridges databases, ML infrastructure, and production telemetry.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at National Institute of Technology, Tiruchirappalli
Master's degree Computer Science, Master's degree Computer Science at University of Massachusetts Amherst