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Carl Gan (Formally Qianxin Gan)

Hiii there :3

I'm Carl, a programmer (mostly) & hardware designer (slightly) who happens to be a car enthusiast (stubbornly). Sometimes a mechanic (samaritan) that breaks your car to fix my code.

Currently, I am working as a Quantitative Research Intern with a passion for technology and a diverse skill set in Machine Learning, Data Analysis, and Software Development. I hold a comprehensive background in Computer Science, Electrical and Computer Engineering, Information Science, Mechanical Engineering, and Business from my studies.

Autonomous Vehicles | Software Engineering | Algorithms | Machine Learning | Hardware Design | Computer Vision | Quantitative Research

πŸ“š Education

πŸŽ“ University of California, Berkeley - B.S. in Electrical Engineering and Computer Sciences

πŸŽ“ Cornell University - M.Eng. in Electrical and Computer Engineering

πŸ”§ Skills and Technologies

  • Programming Languages: Python, C/C++, Java, SQL, JavaScript
  • Machine Learning: PyTorch, TensorFlow, scikit-learn
  • Data Analysis: Pandas, NumPy, SciPy
  • Hardware Design: Pipeline Profiling, Raspberry Pi, Arduino
  • Interactive Device Design: Sensors, Actuators, IoT, Vehicle Engineering
  • Computer Vision: OpenCV, Keras, YOLO
  • Human-Computer Interaction: UX/UI Design, Prototyping, Figma
  • Urban Technology Impact: Smart Cities, Sustainable Tech, Transportation Engineering
  • Tools: Git, Docker, Kubernetes
  • Frameworks: Qt, Gymnasium

πŸ† Projects

  • ROAR_Py: A novel control suite for Reinforcement Learning supporting Gymnasium API.
  • Kubernetes Cluster for Real-time Llama 3 (8B) Inference: Deployed on a stack of 4 Raspberry Pi 5 devices.
  • Low Bit Quantization in Machine Learning: Research paper focusing on extremely low bit-widths in ML architectures.
  • Autonomous Indycars: Racing Indy Cars on the track without human operators.

Feel free to explore my repositories and connect with me!

Carl Gan's Projects

Carl Gan doesn’t have any public repositories yet.

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