About Me
I currently work as an Instrumentation and Controls Engineer at WSP Canada โ๏ธ๐ญ, where I work on Industrial Controls and Automation for various water infrastructure ๐ง as a Professional Engineer (BC, MB) ๐งโ๐ป, Certified Technician (BC, MB) ๐ง, and Chemist-in-Training (AB) ๐งช.
I am also a Post Doctoral Fellow ๐ฌ at the University of Manitoba where I research the application of Chaos Theory ๐ and Fractal Complexity ๐ towards improving machine learning and deep learning frameworks ๐ค๐ง .
Previously I completed my Ph.D ๐ in Electrical and Computer Engineering at the University of Manitoba. Before that, I completed my M.Sc. ๐ in Civil Engineering from the University of Manitoba, and my B.Sc. ๐งช in Chemistry from the University of Winnipeg.
Outside of engineering and research, I am a Certified Financial Planning (CFP) student with FP Canada ๐๐ฐ, where I work in personal financial planning with clients to help them make more informed decisions about their financial goals ๐๐.
๐ Academic CV ๐ป Instrumentation and Controls Resume ๐ฑ Environmental ResumeProfessional Experience
Visiting Researcher, Waseda UniversitySpring 2027 (expected), Tokyo, Japan
- Research temporal graph-based intrusion-detection models for Operational Technology (OT) networks at the Department of Communication and Computer Engineering under the supervision of Prof. Tatsuya Mori.
Visiting Researcher, University of New South WalesFall 2026 (expected), Canberra, Australia
- Research temporal graph-based intrusion-detection models for Operational Technology (OT) networks at the Australian Defence Force Academy (UNSW@ADFA) under the supervision of Prof. Jiankun Hu.
Instrumentation and Controls Engineer, WSPSummer 2023 - present, Vancouver, BC
- Design and integrate industrial controls and automation solutions for water system infrastructure, including OT networks, SCADA systems, PLC programming, and HMI development.
Post Doctoral Fellow, University of ManitobaFall 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.
Visiting Researcher, National Institute of InformaticsWinter 2022, Tokyo, Japan
- Worked on detecting networking threats and scanners in backbone network traffic targeting Japanese research institutions under the supervision of Dr. Kensuke Fukuda.
Data Scientist Intern, MicrosoftSummer 2022, Redmond, USA
- Worked with the Windows Defender for Endpoint detection team to identify command and control connections and malicious DNS servers.
Applied Research Scientist II Intern, AmazonSummer 2021, New York, USA
- Worked with the Amazon GuardDuty Applied Machine Learning team on soft labelling honeypot malicious binaries in AWS EC2 instances.
Lead Research Intern, Canadian Tire Corp. Fall 2019 - Fall 2022, Winnipeg, Canada
- Developed graph-based deep learning pipelines to detect metamorphic malware and enterprise security threats.