Savo's Site

Hi There!

This website is for Savo Bajic (me!), covering my projects and work - lots of embedded systems design: from concept to final delivery.

If you’re looking to chat or collaborate drop me a line!

Recently Updated Pages

These are pages that I have most recently updated. Usually that means meaningful content updates but sometimes it could just be me fixing some spelling mistakes.

Rebreather Monitoring

Page Last Updated: January 5, 2025

Status: Assembled, in testing

Period: May 2020 - August 2020

Client: HPVDT

Tags: analog axios embedded HPVDT

Led the design of the rebreather monitoring system for our submarine project

T3.2 PCB and T7 Drivers

Page Last Updated: January 5, 2025

Status: Complete

Period: January 2023 - August 2023

Client: MEng Project for ISML, Intelligent Sensory Microsystem Laboratory, University of Toronto

Tags: Altium IC Multilayer Research ToF

Designed the carrier PCB for one, and Verilog driver code to operate two, experimental Time of Flight (ToF) camera sensors

Force Feedback Tester

Page Last Updated: January 5, 2025

Status: Complete

Period: May 2018 - July 2018

Client: IGB Automotive

Tags: IGB LabVIEW PLC robotics validation

Expanded on my basic, single-axis, force feedback system to now monitor and control up to six axes and eased user configuration

Blueshift

Page Last Updated: January 5, 2025

Status: Completed, never used.

Period: October 2019 - March 2020

Client: HPVDT

Tags: c++ embedded HPVDT rpi

Created the electronics system for what would have been our ASME 2020 race bike entry. A combination of TITAN and Zephyr.

Crane Gantry Control System

Page Last Updated: January 5, 2025

Status: Complete

Period: September 2020 - December 2020

Client: MIE404, Control Systems

Tags: control matlab simulink

Made a simulated control system for a gantry crane system

Rescue Rover

Page Last Updated: January 5, 2025

Status: Complete

Period: January 2021 - April 2021

Client: MIE443, Mechatronics Systems

Tags: c++ ml ros rover slam vision

Gradually developed an assistive robot to aid in a simulated disaster. Simultanious localization and mapping (SLAM) and mchine learning (ML) used.