About Me

I am pursuing a MASc degree with research focused on testing machine learning models at scale. I believe my passion for learning, curiosity, technical knowledge and relevant industry and management experience makes me an ideal machine learning scientist candidate.

Education

Candidate for MASc: University of Waterloo (Supervisor: Dr. Vijay Ganesh, GPA: 4.0) Department: Electrical and Computer Engineering, Specialization: Software. Relevant Courses:

  • Security and Privacy for ML and AI (95%),
  • Methods and Tools for Software Engineering (94%),
  • Software Testing/Quality Assurance (96%),
  • Distributed Computing (88%),
  • Artificial Life (95%).

Research

My research focuses on the application of formal logic to machine learning. Currently, I am looking at scalable methods of testing neural networks. In addition, I am investigating the application of explainable AI systems to improve neural network learning, particularly GANs.