Moji Solgi
AI And Machine Learning Leadership at Meta
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolMoji Solgi is an engineering leader specializing in AI and machine learning, currently leading AI efforts at Meta with over a decade of experience translating research into production systems. He has built and scaled global R&D teams at companies including Axon, Uber, Microsoft, and Big Fish Games, shipping AI products that operate on petabyte-scale data. A PhD in computer science with a cognitive science specialization, his thesis anticipated single-pass detection models like YOLO/SSD, and in 2010 he open-sourced an early deep learning library used by hundreds before TensorFlow’s rise. Moji blends fast-iteration, agile engineering practices with research rigor, favoring rapid prototypes that mature into scalable production. His background includes award-winning robotics work (RoboCup champion teams) and practical sensor-fusion solutions for autonomous vehicles, underscoring a rare combination of theoretical insight and hands-on systems engineering. Based in Seattle, he is known for turning mission-critical business problems into impactful AI products through strong technical vision and team-building.
10 years of coding experience
6 years of employment as a software developer
Amirkabir University of TechnologyDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Michigan State University
English, PersianGithub contributions (1)
msolgi14/CDBN
May 2016 - May 2016
Contributions:1 commit, 1 branch in 1 day
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