Work Study — University of Western Ontario
- Creating a physical version of the Graduate SmartStart Brightspace page for Western Engineering.
- Streamlining a program to create a set template for graduate course syllabus.
- Researched and compared various universities graduate program to Western's in search of lacking areas.
Summer Student III — University of Western Ontario
- Created, migrated, and managed the Graduate SmartStart Brightspace page for Western Engineering.
- Produced a year-end report for the Dean’s Office, summarizing achievement and attendance metrics.
- Adapted quickly across smaller tasks/projects as priorities shifted.
What I did (more detail)
This role sharpened my ability to translate stakeholder needs into a clean, maintainable Brightspace experience and to communicate outcomes in an executive-friendly format.
IT Support Summer Student — York Region District School Board
- Worked with sensitive data to identify personal information exposed in a breach scenario.
- Built a Python script for automated detection and extraction of personal information, improving productivity by 50%.
Freelance Website Designer
- Built modern websites for a CREA-certified real estate agent; increased site traffic by 30% and engagement by 20%.
- Strengthened core HTML/CSS fundamentals through real client delivery.
IT Support Summer Student — York Region District School Board
- Enhanced intranet UI/functionality using HTML and SharePoint.
- Contributed to SharePoint Online implementation for the new board calendar.
Selected Projects
Speech Recognition API (Voice-controlled Chrome)
- Built a computer vision workflow with OpenCV + Pytesseract + Google Speech API to control Chrome with voice commands.
- Continuing development in beta with additional features and test cases.
Brushless DC Motor (Axial Out-runner)
- Designed and built an axial out-runner BLDC motor with CAD parts, magnets, and soldered windings (team of 5).
- Achieved a working design targeted for ~3A current operation.
Deep Learning Prediction Model (LSTM, Time Series)
- Built an LSTM model to predict US economic time series data (team of 4).
- Applied preprocessing + classification techniques; reached ~83% accuracy.
Transfer Learning Classification (SUN397)
- Trained/tested a transfer learning model in TensorFlow/Keras on SUN397.
- Reached ~58% accuracy over 10 epochs (batch size 32).
Skills Snapshot
Python, Java, MATLAB, C, HTML/CSS, cloud (Azure/GCP), ML tooling (scikit-learn, PyTorch, NumPy), SQL, SharePoint, CAD, and electronics prototyping.
Languages: English and French (fluent).