Tomer Levinboim is a software engineer at Google Research with 12 years of experience building large multimodal language models and driving natural language generation research. He holds a PhD in ML/NLP from Notre Dame and has a strong academic pedigree including USC, TAU and Reichman, blending deep research with production engineering. Since joining Google in 2017 he’s applied statistical and neural approaches to low-resource language translation and large-scale model development. Early-career roles ranging from founding a prediction-market startup to backend development at Kenshoo give him practical systems and product instincts alongside research rigor. Based in Los Angeles, he combines algorithmic depth with hands-on software craftsmanship, often translating complex research into scalable code.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science (ML and NLP), Doctor of Philosophy (PhD) Computer Science (ML and NLP) at University of Notre Dame
Master of Science (M.Sc.) Computer Science (Machine Learning), Master of Science (M.Sc.) Computer Science (Machine Learning) at University of Southern California
B.A Computer Science, B.A Computer Science at Reichman University
M.Sc Computer Science, M.Sc Computer Science at Tel Aviv University
B.Sc Computer Science (Exchange Program), B.Sc Computer Science (Exchange Program) at University of Pennsylvania
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