
Hey there! My name's Dillon. I'm a fourth-year Computer Science student seeking software engineering opportunities for 2026 new grads. I enjoy systems/embedded systems programming and creative problem solving. My current skills include: C/C++, Java, Python, TypeScript/JavaScript, Communication Protocols (UART, I2C, SPI) and SQL/PostgreSQL.
About Me
I decided to pursue my passion for programming after being laid off from Shopify support in 2023. I've enjoyed solving problems with software since my early teens but I had never formally studied computer science. I enrolled full-time at Carleton University in the fall of 2024 and have been studying full-time since. In addition to my coursework, I have been learning front-end development and working on some independent projects in my free time. I'm looking for part-time internship opportunities ahead of my May 2026 graduation where I can continue to develop my skills and excel as an important part of your team.
When I'm not programming I like to read, play video games and listen to hip-hop music. I am always learning and familiarizing myself with new technologies. Most recently I have been studying real-time operating systems and embedded software development. I also have a background in Neuroscience, which I studied at Carleton University before enrolling in Computer Science. You can read my undergraduate research here. I continue to consume Neuroscience literature and have a keen interest in human-computer interactions and brain-computer interfaces.
My Projects
Ottawa Housing Trends Dashboard
A web application that visualizes housing trends in Ottawa using real estate data. Data is scraped every Monday via a Python script using Github Actions.
- Python
- React
- PostgreSQL
- Next.js
Pico W Wi-Fi Thermometer
Embedded Wi-Fi thermometer built with a Raspberry Pi Pico W. Reads temperature and humidity data from a DHT11 sensor and displays it to an onboard OLED display, as well as a web interface hosted on the device itself.
- C++
- C
- Embedded Systems
- IoT
- Device Drivers
CPU Scheduler Simulator
A simulation of a CPU scheduler that demonstrates various scheduling algorithms such as FCFS, SJF, SRTF, Preemptive Priority and Round Robin. Users can visualize the scheduling process and see how different algorithms affect the performance of a set of processes. There is also a quiz mode that tests users on their understanding of the algorithms.
- Java
- Spring Boot
- JUnit
- Javascript
- React
- Docker
My Skills
- C/C++
- Java
- Python
- Swift
- TypeScript
- React
- Next.js
- Node.js
- SQL
- PostgreSQL
- Sprint Boot
- Flask
- FastAPI
- PyTorch
- Docker
- Amazon S3
- Supabase
- Git
Get in touch
You can reach me directly at DillonBordeleau@gmail.com or use this form.


