Multisensor Detection
Sensor fusion with RGB + IR + thermal feeds. Training on desktop, optimized models for edge hardware.
YOLO • OpenCV • Edge
Available for research collaborations
Master's student, infantry reservist.
I work at the intersection of applied ML, tooling, and real world constraints.
Python
Computer Vision
3+
Years industry
10+
Projects shipped
2
Areas of research
About
I'm David, a Master's student in Computer Science at Queen's University. My research primarily focuses on data analysis, internet of things (IOT), and large language models (LLMs) and I am under the supervision of Dr. Yuan Tian. I have multple years of experience as an analyst and a data scientist at Statistics Canada.
I also serve as a reservist in the Canadian Armed Forces as an infanteer, where I am a section commander at my unit. With almost six years of service; allowing me to work in high stress environments either alone or in a team setting.
During my free time, I love maintaining and improving my physical fitness by going to the gym and going on runs and rucks. I also love working on my side projects which can be described as exploring how I can bridge my infantry experience with my computing experience.
Data Science @ StatCanCAF ReserveGraduate Research
Personal Projects
Personal NAS + Media
Home server for storage, backups, and media with access controls and sane defaults.
Linux • Samba • PlexExperience
2024 — Present
Master's Research
Computer Science — research in ML for code review and toolsmithing.
2023 — 2025
Data Scientist
Statistics Canada — analysis, pipelines, and model deployment.
2020 - Present
Infantry Reservist
Canadian Armed Forces — leadership, training, and operations.
Contact
Email is best.