Anupama Murthi is a Senior Software Engineer with a decade of experience building robust software systems across research and enterprise environments, currently contributing to IBM Research. She brings strong hands-on expertise in Java, C++, C#, and big data technologies, with a track record of applying Agile methodologies to deliver production-grade solutions. Her background spans security and consumer software at Symantec and financial systems at Citi, giving her a pragmatic blend of performance, reliability, and security-focused engineering. A Stony Brook MS in Computer Science complements her B.Tech in Information Technology from College of Engineering, Guindy, and underpins her methodical approach to problem solving. Colleagues know her for translating research ideas into practical implementations—an ability that stands out in her transition to research-driven engineering at IBM.
10 years of coding experience
8 years of employment as a software developer
B Tech, Information Technology, B Tech, Information Technology at College of Engineering, Guindy
MS, Computer Science, MS, Computer Science at Stony Brook University
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Contributions:6 PRs, 21 pushes, 2 branches in 1 month
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Anupama Murthi - Senior Software Engineer at IBM Research