Rashmi Raghunandan
Machine Learning Engineer at Block
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolRashmi Raghunandan is a Machine Learning Engineer in San Jose with 11 years of experience building production AI/ML systems focused on trust and identity verification, currently helping secure Cash App at Block. She combines a strong academic foundation from Carnegie Mellon (MIS Management, Business Intelligence & Data Analytics) with hands-on engineering across cloud, orchestration, and analytics from roles at Oracle, Cisco, and IBM. Rashmi’s background spans end-to-end ML engineering—data-driven root-cause analysis, performance and customer analytics, and identity verification pipelines—bringing production rigor to research-derived solutions. She contributes code and projects under the kodiak-rashmi handle, reflecting an ongoing commitment to engineering craft beyond day-to-day work. Colleagues describe her as pragmatic and curious, translating complex data problems into reliable, scalable systems.
11 years of coding experience
5 years of employment as a software developer
High School, 89.1%, High School, 89.1% at Innisfree House SchoolMaster’s Degree, Master of Information Systems Management - Business Intelligence and Data Analytics, Master’s Degree, Master of Information Systems Management - Business Intelligence and Data Analytics at Carnegie Mellon University - H. John Heinz III CollegePhysics-Chemistry-Maths-Computer Science, 94.5%, Physics-Chemistry-Maths-Computer Science, 94.5% at RV PU CollegeBachelor of Engineering (BE), Computer Science, 9.2/10, Bachelor of Engineering (BE), Computer Science, 9.2/10 at PES Institute of Technology
Tamil, Kannada, Hindi, English
Github Skills (6)
python-bindings8
api6
python5
vsphere5
vmware5
pyvmomi2
Programming languages (1)
Github contributions (5)
rashrag/android_security
Oct 2014 - Nov 2014
Contributions:3 commits in 1 month
rashrag/rashrag.github.io
Nov 2015 - Aug 2016
Contributions:10 pushes, 1 branch in 9 months
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