Anupama Murthi

Senior Software Engineer at IBM Research

Town of Yorktown, New York, United States
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Summary

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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.
code10 years of coding experience
job8 years of employment as a software developer
bookB Tech, Information Technology, B Tech, Information Technology at College of Engineering, Guindy
bookMS, Computer Science, MS, Computer Science at Stony Brook University
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Stackoverflow

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Github Skills (37)

calibration10
estimate10
bias-detection10
discrimination10
uncertainty10
r9
machine-learning-models9
artificial-intelligence9
python9
datasets9
machine-learning9
extraction9
uncertainty-quantification9
fairness-ml9
recall9

Programming languages (2)

RustPython

Github contributions (5)

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anupamamurthi/UQ360

Aug 2021 - Oct 2021

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
data-sciencecommunicateuncertainty-quantificationmachine-learningpredictions
Contributions:20 pushes, 1 branch in 3 days
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Anupama Murthi - Senior Software Engineer at IBM Research