CV

Education

• M.S. in Applied Computing, University of Toronto, 2025
  • Artificial intelligence concentration
  • Courses in Natural Language Processing, Spoken Language Processing, Advanced Data Systems, Software Engineering for Machine Learning.
• B.S. in Computer Science, University of Waterloo, 2023
  • Artificial intelligence specialization
  • Co-operative program, 6 4-month coop placements
  • Courses in Artificial Intelligence, Machine Learning, Autonomous Vehicles, Networks

Publications

A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks

Hudson, Sinclair & Jit, Sophia & Hu, Boyue & Chechik, Marsha. (2024). A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks. 10.48550/arXiv.2406.08216.

Sim-to-real domain adaptation for lane detection and classification in autonomous driving

C. Hu, S. Hudson, M. Ethier, M. Al-Sharman, D. Rayside and W. Melek, "Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving," 2022 IEEE Intelligent Vehicles Symposium (IV), Aachen, Germany, 2022, pp. 457-463

Convolutional Neural Networks for Classification of Drones Using Radars

Raval D, Hunter E, Hudson S, Damini A, Balaji B. Convolutional Neural Networks for Classification of Drones Using Radars. Drones. 2021; 5(4):149. https://doi.org/10.3390/drones5040149

Experience

LiDAR Perception Researcher at NVIDIA

Model Deployment Platform Engineer at Cruise

LiDAR Perception Researcher at NVIDIA

Machine Learning Engineer at DarwinAI

Software Engineer at UntetherAI

LiDAR Perception Researcher at Huawei

Skills

• Research
  • Literature review and presentation
  • Clean and accurate implementation of research ideas
  • Research strategy
• Software Engineering
  • Version control/git
  • Object oriented design