Ivan Bukač

(1) Prototyped firmware for a new feature on an active product, enabling Ethernet communication between an STM32 device and an SPI-to-Ethernet chip (2) Worked in C++ to analyze and integrate solutions into the existing codebase. Worked closely with senior engineers to ensure compatiblity. (3) Used company developed RTOS to manage tasks. Used Git for version control. (4) Verified SPI transaction integrity via oscilloscope analysis. -- Skills: C/C++, STM32, Git, RTOS, Oscilloscpe debugging

(1) Developed and implemented a Kalman filter for real-time vehicle motion tracking. (2) Employed a neural network to perform object detection on LiDAR point cloud data, inte- grating the results into the tracking system. (3) Built the entire solution in Python (4) Used Git to communicate and share code with a work partner --Skills: Python, PyTorch, Git, Computer Vision, Kalman Filtering

(1) Researched a new company product for remote monitoring and gate control based on lowe power STM32 processor. Assigned to start development based on prior system architecture. (2) Optimized and reduced power usage by 50% by debugging and refining deep sleep behaviour. (3) Utilized LoRaWAN and FreeRTOS to infer gate states and detect physical movement. (4) Worked closely with the hardware team to better understand the device power usage. -- Skills: C, STM32, Git, FreeRTOS, Power consumption optimisation

(1) Studied in an international academic environment (6 months), improved English proficiency, developed strong collaboration skills, and learned how to easily integrate into Swedish workplaces. (2) Learned about System Engineering, Sattelite Communications and Deep Learning

(1) Participated in a university-led research project focused on humanitarian demining technologies. (2) Contributed to hidden object number estimation algorithm which later formed the basis for my Master thesis. -- Skills: Matlab, Nonlinear optimisation, Signal Processing

Thesis title: Algorithms for estimating number of hidden objects from pulsed metal detector data (1) Developed and tested evolutionary and nonlinear optimization algorithms in MATLAB for estimating hidden objects in demining scenarios. Worked closely and overviewed by the Dean (2) Built a simulation environment using dipole approximation and validated performance through lab measurements -- Skills: Matlab, Signal Processing, Nonlinear and evolutionary optimisation

Thesis title: Mathematical modeling of consensus in information geo- metry (1) Modeled consensus formation via opinion dynamics using Python, expo- nential family distributions, and differential equations. -- Skills: Python, differential equations, mathematical modelling