Summary
Sowmya Ramapatruni is a Software Engineer IV based in the San Francisco Bay Area with over a decade of hands-on experience building high-performance networking, threat-detection, and traffic analytics systems. She holds an MS in Computer Science from UMBC and is fluent in C, C++, Python, and Linux, with a track record of delivering measurable impact—improving detection rates by 35% and optimizing analysis engines by 50%. Her background spans product engineering at Juniper Networks and Corelight to research on ML-driven intrusion detection in IoT environments, where she achieved 90% accuracy using HMMs. Earlier roles at Nokia, Morgan Stanley, and TCS sharpened her systems-level skills in real-time event handling, large-scale log filtering, and automation that cut manual intervention dramatically. She combines research rigor with production-grade engineering, frequently bridging cross-functional teams to ship secure, scalable routing and monitoring features for cloud and enterprise networks.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, A, Bachelor of Technology (B.Tech.), Computer Science, A at Gitam university
UMBC