CV

Ph.D., Electrical and Computer Engineering (starting January 2027)

• Supervisor: Dr. Steve Drew
• Proposed research: security of AI agents
• Four year doctoral funding package

M.Sc., Electrical Engineering (thesis based)

• GPA: 4.00 / 4.00
• Supervisor: Dr. Geoffrey Messier
• Thesis: Peeking Through the Windows: Hyperparameters, Administrative Data, and Selective Windowing

Bachelor of Electrical Engineering

• CGPA: 3.65 / 4.00, Minor in Business Studies
• Final year project: generative adversarial networks for network intrusion detection, Robotics and Machine Intelligence (ROMI) Lab, supervised by Dr. Wajahat Hussain

Research Associate

• Conducting a systematic literature review on the privacy and security of mobile health applications, including writing the review protocol
• Researching qualitative codebook merging using in context learning across several large language models
• Collecting Android app metadata from the Google Play Store and classifying apps as mHealth or non mHealth with an open source language model
• Preparing a manuscript, including methods documentation and analysis of results

Data Scientist (contract, through EAMEC Canada Inc.)

• Configured a heat exchanger fouling prediction model in Azure
• Ported code to Databricks and a new enterprise data platform using SQL, Python and PySpark
• Built an automated cycle counting pipeline in Azure Machine Learning that combines historian data with predictive models to optimize maintenance schedules
• Maintained Power BI dashboards powered by Python based Azure Machine Learning pipelines, and built PI Vision dashboards for heat exchanger performance and backflush cycle detection

Data Scientist (contract, through S.i. Systems)

• Built statistical models in Python and R to support asset performance using Azure Machine Learning
• Developed and deployed AI models and data pipelines in Azure, integrating regression and decay models with preprocessing and postprocessing steps
• Built interactive dashboards in Power BI and PI Vision

Data Science Research Assistant

• Developed Python data algorithms for confidential homelessness administrative datasets from multiple agencies under strict data privacy protocols
• Built machine learning models, including regression models, neural networks, decision trees and clustering, to analyze confidential datasets
• Led the research and experiments for a privacy preserving federated learning framework that lets Calgary agencies train a shared model to predict homelessness risk without sharing their records (AIES 2024)

Graduate Teaching Assistant

• Three terms (Winter 2022, Fall 2022, Winter 2023)
• Led labs on topics ranging from machine learning to network protocols, mentored student project teams and administered technical exams

Final Year Project, Robotics and Machine Intelligence (ROMI) Lab

• Used generative adversarial networks to generate synthetic network traffic for a neural network based intrusion detection system, supervised by Dr. Wajahat Hussain

Research Intern, Real-time Intelligent Secure Computing (RISC) Lab

• Worked on RTL simulation of a RISC-V core, supervised by Dr. Rehan Ahmed

Summer Intern

• Worked in the parts and service sales system

Volunteer Intern

• Worked with children with special needs, both in the classroom and at a community level

• Four year doctoral funding package and International Graduate Tuition Award, University of Calgary

• Third prize, CANIS Hackathon, University of Calgary

• International Graduate Tuition Award, University of Calgary

• Gold medal for the highest A Level grades in the engineering section, Edwardes College, Peshawar