Hands-on Repair & Hardware Skills
Built practical troubleshooting skills through electronics repair work and hardware rebuilds.
I’m a Computer Systems Engineering student at Carleton University with a focus on embedded systems, FPGA/digital logic, robotics, and Python-based tooling. I like projects where hardware and software meet—and where “works on my desk” becomes “works every time.”
Recently, I’ve been building data acquisition tools (Mini-Lysimeter GUI using NI-DAQ + Arduino), developing EMG acquisition and processing software with BioCARE, and strengthening my RTL + verification fundamentals through FPGA/digital projects (including a synchronous FIFO and arithmetic display logic). I’m especially interested in embedded reliability, clean interfaces, and testable designs.
Firmware, microcontrollers, and clean interfaces (SPI, I²C, UART) built for stability.
RTL design + verification mindset: testbenches, timing awareness, and hardware-real behavior.
Motor control, sensing, and wireless operation—designed to be modular and easy to extend.
DAQ GUIs, automation scripts, and visualizations that reduce friction in real workflows.
Built practical troubleshooting skills through electronics repair work and hardware rebuilds.
Served on the CU-MSA executive team (VP Administration), building systems that support a large student community.
Built a research-friendly GUI integrating NI-DAQ + Arduino for repeatable experimental data collection.
Developed EMG acquisition + processing tooling and built an end-to-end signal workflow from capture to visualization.
"Engineering feels the most meaningful when it makes something more reliable, more usable, and easier to build on."
A mix of embedded systems, digital logic, robotics, and practical software tools that support real workflows.
Microcontrollers, sensors, firmware, and real-time serial communication.
90%RTL design, testbenches, constraints, synthesis, and timing awareness.
85%Motor control, sensing, wireless control, and stability testing.
80%DAQ GUIs, automation scripts, plotting tools, and workflow optimizations.
90%Devices Repaired
Engineering Projects
Students Served Through CU-MSA