Arun Shankar
Staff AI Architect Google Cloud
Dallas-Fort Worth Metroplex United States
Summary
👤
Senior🎓
Top SchoolArun Shankar is a Staff AI Architect at Google Cloud with 14 years of experience designing and operationalizing large-scale machine learning systems across cloud and enterprise domains. He previously led global ML architecture at AWS and built applied-science teams and production models at LexisNexis, HG Insights, and startups, with deep expertise in question answering, conversational systems, search relevance, and data pipelines. Arun’s background spans research-driven projects (World Well-Being Project) to defense and industry initiatives at DARPA and Philips, giving him a rare blend of academic rigor and product-focused delivery. He has hands-on experience migrating core modules to cloud infrastructures, architecting scalable geo-parsing and multilingual character-recognition models, and engineering pragmatic neural engines for contextual marketing. Based in the Dallas–Fort Worth area, he combines strategic leadership with day-to-day technical craft, often translating complex language and graph problems into production-ready services. His GitHub persona — “Lost in translation from transcension!” — hints at a creative, language-centric approach to solving AI challenges.
14 years of coding experience
11 years of employment as a software developer
Master of Science (MS), Computer Engineering, Master of Science (MS), Computer Engineering at Case Western Reserve University
English
Github Skills (1)
python1
Github contributions (5)
arunenigma/Thesis
Apr 2013 - May 2013
Contributions:20 commits in 21 days
skylarker/rumor-detection
Jul 2015 - Oct 2015
Contributions:8 commits, 5 pushes in 2 months
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