About Me
I currently work as an Instrumentation and Controls Designer at WSP Canada, where I work on Industrial Controls and Automation for various water infrastructure as an Engineer-in-Training (MB), Certified Technician (MB), and Chemist-in-Training (AB).
I am also a Post Doctoral Fellow at the University of Manitoba where I research the application of Chaos Theory and Fractal Complexity analysis towards improving machine learning and deep learning frameworks.
Previously I completed my Ph.D in Electrical and Computer Engineering at the University of Manitoba. Before that, I completed my M.Sc. in Civil Engineering from the University of Manitoba, and my B.Sc. in Chemistry from the University of Winnipeg.
🎓 Academic CV 💻 I&C / Data Science Resume 🌱 Environmental ResumeProfessional Experience

Fall 2024 - present, Winnipeg, Canada
- Working with Canadian Tire Corporation on the application of Chaos Theory and Fractal Complexity analysis towards improving machine learning and deep learning frameworks.

Summer 2023 - present, Vancouver, BC
- Design and integrate industrial controls and automation solutions for water system infrastructure.

Winter 2022, Tokyo, Japan
- Worked on detecting networking threats in backbone network traffic under the supervision of Dr. Kensuke Fukuda.

Summer 2022, Redmond, USA
- Worked with the Windows Defender for Endpoint detection team to identify command and control connections.

Summer 2021, New York, USA
- Worked with the Amazon GuardDuty Applied Machine Learning team.

Fall 2019 - Fall 2022, Winnipeg, Canada
- Develop deep learning pipelines for Malware detection of enterprise security threats.