Image processing and deep learning algorithm development with focus on efficient networks adapted for small embedded devices.

Software development with focus on both algorithms and firmware.

Working as an Embedded Systems Consultant.

Test developer for the battery controller unit at system level, where at the beginning of the assignment I built my own HIL rig. The mission is to automate regression testing from Jenkins and to verify development issues in review. The test environment consists of HIL rigs where hardware is used together with simulated controllers. I also participate in the development of simulated test environments, as well as maintenance and development of software that enables testing.

The project aimed at analyzing blinks using video data, signal processing and deep learning. Focus was on recurrent neural network architectures combined with multi task learning.

Exercise (SI) leader in the course Mathematical analysis in one variable. The course content consisted of solving methods for differential equations, integrals and summations.