Experience

🎓 Education

  • MEng Electronic and Information Engineering, Imperial College London (2019-2023)
    • First Class Honours (80.2%) | Governors' MEng Prize | Dean's List (Years 2-4)
    • Focus: Machine Learning, Deep Learning, Computer Vision, AI, Robotics
  • International Baccalaureate Diploma, Whitgift School (2017-2019)
    • 43/45 points | HL: Mathematics, Physics, Chemistry (7/7)

đŸ’ŧ Work Experience

  • Computer Vision Intern, Humanising Autonomy (2022)
    • Implemented active learning for object detection, automated AWS data pipeline
    • Enhanced tracking performance and developed edge deployment solutions with product-quality and unit-tested Python code
  • Deep Learning Software Engineering Intern, MathWorks (2021)
    • Optimized pooling layers (40x performance gain)
    • Implemented video action recognition demo based on Fast 3D Convolutions

🎤 Invited Talks

  • Presented PhD project at 2024 AIMS Annual meeting
  • Convolutional Neural Processes for Inpainting Satellite Images - 7 June 2022. CSML Reading Group, Imperial College London. [Slides]

📝 Reviewing Experience

  • Reviewer for NeurIPS and ICLR Workshops on Tackling Climate Change with Machine Learning (2023-present)