Experience

🎓 Education

MEng in Electronic and Information Engineering

Imperial College London

  • Relevant Modules:

    • Deep Learning
    • Advanced Neural Networks
    • Computer Vision
    • Large Dimensional Data

  • Thesis: Developed Image Processing techniques to implement and improve a Deep Learning pipeline to detect and replace a specified part of an image from a text prompt.

💼 Work Experience

Research Internship at ARM

  • Focused on Hardware Engineering, contributing to research and development of next-generation chip designs.

Engineering Internship at Peter Brett Associates (now Stantec)

  • Gained experience in Structural Engineering, working on large-scale infrastructure projects.

⚙️ Skills

  • Machine Learning: Regression, Classification, CNNs, Transformers
  • Deep Learning Frameworks: PyTorch, TensorFlow
  • Programming Languages: Python, C, C++
  • Cloud Platforms: AWS (EC2 Instances Management)
  • Data Tools: SQL, Pandas, NumPy
  • Version Control: Git, GitHub