I'm a Computer Systems Engineering student at Carleton University focused on embedded systems, firmware, and building practical software tools.
Recently I've been writing and debugging firmware across vehicle control variants at Ford of Canada, and I enjoy pairing low-level systems work with clean, usable applications.
Languages, tools, and concepts I use across firmware and software work.
C++ · Python · JavaScript · C · HTML
Git · GitHub · Jenkins · Linux · VS Code · Docker · Jira · DaVinci Configurator
pytest · unittest · logging · Automated scripting
Embedded Linux · OS-level Debugging · ECG/TCU Firmware · DBC Integration · Flashing & Debugging · SRAM Optimization
Flask · React · Scikit-learn · OpenCV · Tesseract OCR · Tkinter · Geolocation APIs
Where I've applied embedded systems, data analysis, and software craft.
Ford of Canada
miRonCol Diagnostics
Builds across AI tooling, full-stack apps, and applied machine learning. Demo and repo links can be plugged in later.
May 2025 – July 2025
An AI-assisted poker strategy tool that uses Claude for hand strength and pot-odds guidance, OpenCV and Tesseract for OCR game-state extraction from screenshots, and a Tkinter GUI with hand-history tracking and dual input modes.
December 2025 – Present
A React-based parking marketplace with real-time space booking via geolocation, backed by Flask REST APIs for login, listings, and booking logic. Built with modular components, accessibility, and future scalability in mind.
March 2023 – April 2023
A machine learning web app that assesses breast cancer risk from fine-needle aspiration cell data. Reduced 30 features to the 3 most significant, trained a KNN model to 91% accuracy, and connected at-risk users to nearby specialized facilities with email and geolocation alerts.
Building a foundation in systems, software, and hardware together.
Bachelor of Engineering, Computer Systems Engineering
September 2024 – April 2029
Focus Embedded Systems, Software Development, Automation, Python & C++ Programming
Soft skills that show up as much as the technical ones.
Pick up new tools and domains quickly when the work demands it.
Comfortable tracing issues from source to hardware or data.
Collaborate effectively across multi-site and cross-functional teams.
Stay motivated and accountable in agile, fast-moving environments.
Open to internships, collaborations, and interesting systems problems.