Namitha Ganiga
Machine Learning Engineer at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNamitha Ganiga is a machine learning engineer with a decade of experience building production ML systems and firmware across companies like Meta and Amazon, currently focused on NLU model platforms. She combines an MS in Computer Science from USC with deep practical expertise in model-building pipelines, data processing, and latency optimization for large-scale voice assistants. Earlier in her career she solved low-level firmware and 3G/LTE integration challenges at Intel and Infineon, giving her uncommon fluency across both hardware-adjacent systems and cloud ML services. At Amazon she bridged scientist code to production APIs and improved model build turnaround, and at Meta continues to apply that synthesis to NLU infrastructure. Based in Seattle, she is drawn to applying ML and NLP concepts to real-world products and performance-critical systems.
10 years of coding experience
11 years of employment as a software developer
Masters Computer Science, Masters Computer Science at University of Southern CaliforniaBachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at RV College Of Engineering
Github Skills (8)
extraction10
apache-tika10
metadata10
java9
xls9
pdf9
polar8
apache7
Programming languages (2)
Github contributions (5)
NamithaGS/AnaphoraResolution
Apr 2016 - Apr 2016
Contributions:20 commits, 7 pushes, 1 branch in 16 days
NamithaGS/Machine-Learning
Sep 2016 - Feb 2017
Contributions:5 pushes, 1 branch in 4 months
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