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Konstantin Borozdin has a diverse work experience spanning over several decades.

Konstantin started their career as a Senior Staff Scientist at the Space Research Institute, the Russian Academy of Sciences, where they conducted research in astrophysics and cosmology. During this time, they focused on studying bright X-ray transient sources, black holes, and the physics of accretion in close binary systems. Konstantin also contributed to the development and calibration of X-ray instrumentation for satellites and space stations.

After that, Borozdin joined the Los Alamos National Laboratory as a Scientist/Team Leader and later as a Technical Staff Member. Konstantin'sresearch interests at the laboratory included nuclear science and national security applications, such as muon tomography and radiological and nuclear materials detection. Konstantin also conducted research in astrophysics and cosmology, particularly on X-ray emission from nearby galaxies and the use of clusters of galaxies as cosmological probes. Additionally, they worked on various information technology projects, including X-ray data analysis, machine learning, and FPGA programming.

Borozdin then moved to Decision Sciences, where they held the positions of Vice President for Strategic Development and Vice President for Physics and Analytics. In these roles, they led projects related to muon tomography, including imaging of nuclear fuel, underground imaging, and radiation detection. Konstantin also played a key role in developing advanced algorithms and leading the program of detector delivery for imaging Fukushima damaged reactors.

Following their time at Decision Sciences, Borozdin worked at Muon Vision Inc. as a Consultant and later as the Senior Vice President of Analytics and Software Products. In these roles, they utilized their expertise in analytics and software development, particularly in the field of muon tomography.

Lastly, Borozdin worked at Verus Research as a Senior Machine Learning Engineer. Here, they developed and implemented advanced AI/ML algorithms for space, autonomy, and deep learning. Konstantin also led a SBIR project on efficient machine learning algorithms for radiation detection and mapping.

Overall, Konstantin Borozdin has extensive experience in various scientific and technical roles, with a focus on muon tomography, radiation detection, machine learning, and X-ray instrumentation.

Konstantin Borozdin has a strong educational background in the field of physics. Konstantin completed their high school education with an emphasis on mathematics at 444 from 1978 to 1982. Following this, they pursued their interest in physics and attended the National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) from 1982 to 1988, earning an M.S. degree in Physics with a specialization in Experimental Nuclear Physics.

In order to further their expertise, Borozdin pursued a Ph.D. in Physics and Mathematics from 1992 to 1995 at the Space Research Institute, Russian Academy of Sciences. Konstantin'sdoctoral research likely focused on exploring the interdisciplinary aspects of both physics and mathematics.

Additionally, Borozdin possesses additional certifications to enhance their professional skills. Konstantin obtained a certification in Creative Thinking from LinkedIn in October 2020, demonstrating their commitment to innovative problem-solving approaches. Konstantin has also attained a certification as a Scrum Master from the Scrum Alliance, although the specific details regarding the time of completion are not provided.