Michael Munje is a data scientist and PhD student at UT Austin with eight years of industry experience applying machine learning and software engineering across research and production settings. He has interned at leading organizations including Microsoft (multiple roles), IBM Research, and NASA JPL, blending hands-on engineering with research rigor on applied ML problems. Currently a Data Science Intern at Microsoft and formerly an ML-focused Research Scientist Intern at IBM, he bridges experimental research and deployable solutions. Trained at Georgia Tech (MS, Machine Learning) and CSUN (BS Computer Science, Math minor), Michael brings strong academic foundations alongside practical experience shipping systems at scale. An understudied but telling detail: his trajectory shows repeated returns to Microsoft, highlighting both sustained impact and trusted collaboration in large tech environments.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at Austin
Master's degree, Computer Science, Specialization: Machine Learning, Master's degree, Computer Science, Specialization: Machine Learning at Georgia Institute of Technology
Bachelor of Science - BS, Computer Science, Minor in Math, Bachelor of Science - BS, Computer Science, Minor in Math at California State University, Northridge
Contributions:136 commits, 129 pushes, 1 branch in 1 year 5 months
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