Igor P.

Chief Technology Officer leading a team of 10 persons on various projects including computer vision, full-stack development, system administration, data science modelling. ➤ Migrated the application architecture to a container-based, self-healing, scalable solution to accommodate growing traffic and need for stability. ➤ Improved the speed of development and releasing useful features by introducing new appropriate open-source libraries and continuous integration best-practices. ➤ Constructed a monitoring solution with error prevention, monitoring and automatic alerting for a multi-location architecture in order to reduce downtime, improve stability and increase resource utilization.

Led computer vision research utilizing machine learning and state of the art algorithms for person re-identification and object detection, segmentation, localization and classification to improve the accuracy and capabilities of proprietary person behaviour-tracking algorithms.