CV

Education

• B.S. in Computer Science and Engineering, University of California, Los Angeles (UCLA), 2021 - Present
  • Los Angeles, CA
  • Relevant Coursework
    • Introduction to Computer Science
    • Data Structures
    • Deep Learning for Computer Vision
    • Introduction to Discrete Structures
    • Calculus of Several Variables
    • Linear Algebra
  • GPA: 3.961/4.0

Experience

• ACM at UCLA
  • September 2021 - Present
  • Los Angeles, CA
  • Joined ACM ICPC and committed 10 hours weekly on algorithm and data structure training
  • Joined ACM AI to learn the basics of AI and committed time to Computer Vision project
  • Joined ACM AI Projects and worked on image recognition of whales

Projects

• Autonomous Driving
  • January 2022 - March 2022
  • Reproduced Learning to drive from a world on rails, a high-ranked model on CARLA Leaderboard
  • Added LiDar input to the original model to make the self-driving prediction more accurate
  • Created a Google Colab Demo containing EgoModel as well as ResNet34 and Image Segmentation part of the model

Awards

• Dean’s Honors List (Fall, 2021)
• Louis Levoy Engineering Scholarship (Winter & Spring, 2022) Skills ======
• Languages: Python, Java, C++
• Developer Tools: VS Code, Eclipse, CLion, IDEA, PyCharm, Android Studio, MATLAB, Google Colab
• Technologies/Frameworks: Linux, GitHub, PyTorch, TensorFlow
• Machine Learning: Computer Vision, Autonomous Driving, Reinforcement Learning, Human-in-the-loop Machine Learning