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  • Gilead Sciences
  • San Francisco

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Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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zh3nl/README.md

Hey 👋 I'm Zhen!

🐻 I'm an undergraduate student studying Electrical Engineering & Computer Sciences @ UC Berkeley

🧑‍🔬 Some of my technical interests include: Full-Stack Development, AI/ML, Quantitative Finance, Programming Systems, Distributed Systems, Mathematics, and Physics

📓 At UC Berkeley, I have taken/is currently taking the following courses:

  • CS 61A: The Structure and Interpretations of Computer Programs
  • CS 61B: Data Structures
  • CS 61C: Great Ideas of Computer Architecture (Machine Structures)
  • CS 70: Discrete Mathematics and Probability Theory
  • CS 164: Programming Languages & Compilers
  • CS 189: Introduction to Machine Learning
  • EECS 16A: Foundations of Signals, Dynamical Systems, and Information Processing
  • EECS 16B: Introduction to Circuits & Devices
  • EECS 126: Probability and Random Processes
  • EECS 127: Optimization Models in Engineering
  • Math 110: Abstract Linear Algebra
  • Physics 7A: Classical Mechanics
  • Physics 7B: Electricity & Magnetism
  • IEOR 198: Intro to Quant Finance
  • ENGIN 125: Ethics, Engineering, and Society

🏆 Passionate about building cool stuff and meeting new people. Feel free to reach out at zhen_liu[at]berkeley[dot]edu

🌐 Socials:

LinkedIn

💻 Tech Stack:

JavaScript Python Java C# TypeScript NodeJS Next JS TailwindCSS Django React React Native Flask Bootstrap MongoDB NumPy Matplotlib TensorFlow

📊 GitHub Stats:


github-snake

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  1. SummarizeSyllabus SummarizeSyllabus Public

    SB Hacks XI Submission

    Jupyter Notebook 2

  2. pioneers/new-dawn pioneers/new-dawn Public

    new dawn, yay

    TypeScript 4 7

  3. notrichardpeng/Quizcribe notrichardpeng/Quizcribe Public

    Calhacks 11.0 Michael Siu, Richard Peng, Yiling Yuan, Zhen Liu

    JavaScript 1

  4. TonyTran03/global_fire_detector TonyTran03/global_fire_detector Public

    [UofTHacks 12 Submission] A web-based platform that predicts wildfire trajectories using a self-trained machine-learning model. We visualize accurate predictions through heatmaps, aiding both civil…

    Jupyter Notebook 1