Ajay Kannan
Senior Staff Research Engineer at Google DeepMind
United States
Summary
🤩
Rockstar🎓
Top SchoolAjay Kannan is a machine learning-focused software engineer with 12 years of experience and graduate training in computer science from Stanford. He combines a strong quantitative foundation—BA in Computer Science, Mathematics, and Economics from Dartmouth—with applied ML interests aimed at societal impact. Based in the United States, Ajay blends rigorous academic training with practical problem-solving, likely navigating both research and production contexts. Although his public GitHub footprint isn’t detailed here, his profile suggests a practitioner who values measurable, impact-driven ML solutions. Colleagues would expect him to bridge technical depth and real-world relevance when tackling data-driven challenges.
12 years of coding experience
8 years of employment as a software developer
BA, Computer Science, Mathematics, Economics, BA, Computer Science, Mathematics, Economics at Dartmouth CollegeMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Stackoverflow
1reputation
117reached
0answers
1question
Github Skills (61)
kotlin10
google-workspace10
google-cloud-platform10
client-library10
cdn10
java10
gcp10
google10
automl10
google-cloud10
translate10
cloud-storage10
appengine10
auth10
python9
Programming languages (6)
Github contributions (5)
ajkannan/gcloud-java
Aug 2015 - May 2016
Contributions:2 PRs, 586 pushes, 363 branches in 9 months
googlejavaclient-librarygoogle-cloud
ajkannan/ProductReviewFeatures
Oct 2014 - Nov 2014
Contributions:11 commits in 27 days
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