I currently work as an Instrumentation and Controls Engineer at WSP Canada โš™๏ธ๐Ÿญ, where I work on Industrial Controls and Automation for various water infrastructure ๐Ÿ’ง as a Professional Engineer (BC, MB) ๐Ÿง‘โ€๐Ÿ’ป, Certified Technician (BC, MB) ๐Ÿ”ง, and Chemist-in-Training (AB) ๐Ÿงช.

I am also a Post Doctoral Fellow ๐Ÿ”ฌ at the University of Manitoba where I research the application of Chaos Theory ๐ŸŒ€ and Fractal Complexity ๐Ÿ“ towards improving machine learning and deep learning frameworks ๐Ÿค–๐Ÿง .

Previously I completed my Ph.D ๐ŸŽ“ in Electrical and Computer Engineering at the University of Manitoba. Before that, I completed my M.Sc. ๐ŸŽ“ in Civil Engineering from the University of Manitoba, and my B.Sc. ๐Ÿงช in Chemistry from the University of Winnipeg.

Outside of engineering and research, I am a Certified Financial Planning (CFP) student with FP Canada ๐Ÿ“ˆ๐Ÿ’ฐ, where I work in personal financial planning with clients to help them make more informed decisions about their financial goals ๐Ÿ“ˆ๐Ÿ“Š.

๐ŸŽ“ Academic CV ๐Ÿ’ป Instrumentation and Controls Resume ๐ŸŒฑ Environmental Resume

Professional Experience

image-left Visiting Researcher, Waseda University
Spring 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.

image-left Visiting Researcher, University of New South Wales
Fall 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.

image-left Instrumentation and Controls Engineer, WSP
Summer 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.

image-left Post Doctoral Fellow, University of Manitoba
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.

image-left Visiting Researcher, National Institute of Informatics
Winter 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.

image-left Data Scientist Intern, Microsoft
Summer 2022, Redmond, USA
  • Worked with the Windows Defender for Endpoint detection team to identify command and control connections and malicious DNS servers.

image-left Applied Research Scientist II Intern, Amazon
Summer 2021, New York, USA
  • Worked with the Amazon GuardDuty Applied Machine Learning team on soft labelling honeypot malicious binaries in AWS EC2 instances.

image-left 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.