Summary
Maksim Bolonkin is a Sr. Staff Machine Learning Engineer with 11 years of experience who blends academic rigor as a Dartmouth PhD student with production ML at Motorola Solutions. His research focuses on bridging computer vision and natural language processing, and he brings hands-on experience applying deep learning to real-world products—most notably during an Instagram well-being internship at Facebook. He also teaches as an adjunct at Lomonosov MSU, reflecting a commitment to mentorship and translating research into curricula. A strong mathematical foundation from top Russian universities underpins his work, and his background spans research assistantships, software development, and industry ML systems. Unusually, he combines continued doctoral research with senior engineering leadership, positioning him to move ideas from papers to deployed systems.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree, Fundamental Computer Science and Information Technologies, 4.8, Master’s Degree, Fundamental Computer Science and Information Technologies, 4.8 at Saint Petersburg State University
Doctor of Law - JD, Doctor of Law - JD at Case Western Reserve University School of Law
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Dartmouth College
Lomonosov Moscow State University
English, Russian