Giannis Karamanolakis is a Senior Applied Scientist at Amazon AGI in New York with a decade of experience bridging ML research and production systems. He holds a PhD from Columbia University and focuses on making model teaching more efficient by enabling richer human–machine interactions beyond costly standard labeling. His work spans NLP, information extraction, and semi-/weakly-supervised learning, with papers and systems (e.g., ASTRA, WALNUT, TXtract) that have influenced both academic benchmarks and Amazon’s product knowledge graph. Prior roles include research internships at Microsoft and applied science internships at Amazon where his models were integrated into large-scale product pipelines. He also brings cross-domain experience from audio, speech emotion recognition, and music information retrieval, reflecting a rare blend of language and audio ML expertise. Colleagues value him for translating rigorous research into deployable systems that reduce annotation overhead while improving model utility.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Columbia University
Master of Engineering - MEng Electrical and Computer Engineering, Master of Engineering - MEng Electrical and Computer Engineering at National Technical University of Athens
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Giannis Karamanolakis - Senior Applied Scientist at Amazon