Harinando Andrianarimanana is an applied scientist and software engineer with a decade of experience building web applications and machine learning systems at Amazon. He combines strong backend skills in Java and Python with front-end experience in AngularJS and production databases like DynamoDB and PostgreSQL, moving from SDE to ML Engineer and now Applied Scientist. His background includes practical data-science work—document clustering, automated classification, topic modeling and ETL—showing an ability to turn research techniques into production services. A Georgia Tech computer science master’s graduate with dual BS degrees in Computer Science and Mathematics, he brings both theoretical rigor and hands-on engineering discipline. Based in the Greater Seattle Area, he quietly bridges scalable system design and applied ML, often focusing on operationalizing models rather than just prototyping.
10 years of coding experience
11 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Georgia Institute of Technology
BS Computer Sciences, BS Computer Sciences at Lipscomb University
Contributions:3 pushes, 1 branch in 4 years 4 months
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Harinando Andrianarimanana - Applied Scientist at Amazon