Oleg Alexandrov

Oleg Alexandrov is a highly skilled individual with a broad knowledge base in computer vision, machine learning, mathematical optimization, and probability theory.

He possesses expertise in modeling, scientific computing, linear algebra, and differential equations.

With extensive experience in object-oriented programming, algorithms, and data structures, Oleg is well-versed in good software development practices, multi-threading, and languages such as C++, Matlab, Perl, Python, and Fortran.

His academic background includes a Master's degree in Mathematics from the State University of Moldova, a Ph.D. in Applied Mathematics from the University of Minnesota, and a Bachelor of Science in Mathematics from the University of Bucharest.

Oleg has held positions as a Computer Vision Engineer at SGT Inc. at NASA Ames, a Member of the Consulting Staff at Cadence Design Systems, Inc., and an Applied Mathematics Postdoc at UCLA.

He is passionate about utilizing software and automation to tackle significant real-world challenges.