Vadim Povagin

• design and implement feature detection and defect detection algorithms for QA system (C++, linear algebra, OpenCV); • develop backend components of QA system (C++ 17); • collaborate with Senior Product Architect in product requirements and specification; • performing product build and deployment; • code and configuration management; • implement software development workflow

Development and integration of different SW components into holistic product (C++, Python)

Duties: develop an AI pattern recognition algorithms and software for biometric identification • developed a mathematical model of palm vein pattern; • designed and implemented innovative algorithm for human identification using palm vein images, invariant to translation, rotation, scaling and deformations of the palm (C/C++); • produced an Anti-Fake detection method using palm vein images (C++); • research and development of advanced image processing algorithms.

Duties: • managing software developing department (30+ people): developers, business analysts, UI designers; • developing wide range of software.

Duties: develop an artificial intelligence system allowing to automatize interpretation of the gas pipelines flaw detection signals; automatic reconstruction of gas pipelines in the form of mathematical models based on inspection results • developed a computer vision system for the interpretation of two-dimensional magnetic and ultrasonic signals (C++, T-SQL) • created algorithms and SW for processing, filtration and identification of two-dimensional signals

Subject of Ph.D thesis is "Methods of automatic identification of MFL signals in the in-tube flaw detection of gas pipelines"