I took part in the development of an FPGA-based computer vision device. I trained YOLO v10 to detect project-specific objects. I deployed the weights on an AMD (Xilinx) UltraScale FPGA, achieving 70% accuracy.

I contributed to the development of embedded system designs for a renowned global entity in the energy distribution sector, with the project being subject to a Non-Disclosure Agreement (NDA). My personal involvement included:- The development of a board utilizing FPGA technology.- Acquiring foundational knowledge of EtherCAT.- Engaging with various Microcontroller Units (MCUs)

I developed a prototype for a military-grade embedded system device designed to perform ballistic calculations and assist in aim correction for enhanced shooting accuracy. This project utilized microprocessors based on ARM architecture and microcontrollers based on RISC architecture.

Kivvi is an entrepreneurship company that provides turn-key solutions to other businesses. I have personally been involved in the development of:- An Unmanned Ground Vehicle (UGV) motion system controller unit. This development is based on the Zynq 7000 FPGA, utilizing both the Processing System (PS) and Programmable Logic (PL) units on the System on Chip (SoC).- A mobile facial recognition system. This system is based on a Single Board Computer (SBC) capable of processing images and detecting faces. The SBC is powered by an ARM chip.- The development of a 3D Printer control board, which is powered by a RISC-V controller.

I engaged in a project as an Embedded System Developer, where my responsibilities extended to mobile application development and the design of custom Printed Circuit Boards (PCBs).