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graceliying82/README.md

Grace Li

Principal Software Test Automation Engineer | Robotics & Life Sciences

📍 Massachusetts, United States
✅ U.S. Permanent Resident (Green Card Holder) — No visa sponsorship required
🌐 Visit My Technical Blog


About Me

I am a software engineer with a strong background in industrial robotics and high-scale automation. After years of building intelligent systems for warehouse logistics, I am now applying those engineering principles to Life Sciences and Cardiac Electrophysiology.

My focus is on bridging the gap between physical hardware and medical insight, building reliable, intelligent tools that solve complex real-world problems.

I am also the holder of 3 patents, including innovations in touch screen interaction methods.


Technical Expertise

Domain Skills
Languages Python, C++, JavaScript, TypeScript
Focus Areas Robotics, Test Automation, Cardiac Electrophysiology, AI/ML
Tools & Tech GitHub Actions, Docker, PyEIT, NumPy, Streamlit

Education

Beijing University of Posts and Telecommunications (BUPT) Bachelor & Master of Computer Science


Featured Projects

DeepPulse: AI-Powered ECG Assistant Python, Streamlit, Google Gemini 3, PhysioNet

An advanced educational platform democratizing access to expert-level ECG interpretation. Combines medical signal processing with multimodal AI to act as an interactive tutor for cardiology enthusiasts.

  • Highlights: High-fidelity 12-lead ECG rendering, AI reasoning engine (v3), and interactive diagnostic quizzes.

myEIT 3D Simulator Python, pyEIT, VisPy, PyQt6

A 3D Electrical Impedance Tomography (EIT) simulator for visualizing electric field interactions with a moving catheter.

  • Highlights: Real-time FEM solver, 3D catheter tracking (twist/tilt), and interactive heart shell visualization.

Recent Activity

  1. 🎉 Merged PR #3 in Graceliying82/dataToDiagram

Connect

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  1. dope-projects/DeepPulse dope-projects/DeepPulse Public

    DeepPulse utilizes deep learning algorithms to analyze ECG time-series data, detecting subtle arrhythmias and predicting cardiovascular anomalies.

    JavaScript

  2. myEIT myEIT Public

    Python

  3. learn-openai-in-30Days learn-openai-in-30Days Public

    In this repository, I will be documenting my 30 days learning journey OpenAI.

    Jupyter Notebook 2

  4. dope-projects/open-source-chat dope-projects/open-source-chat Public archive

    You can chat with your open-source package documentations! ✨

    Python 1

  5. pdf-chat pdf-chat Public

    a AI bot will chat based on pdfs you give to them

    Python 4 7

  6. practical-java practical-java Public

    The repo will hold all good code snippet from my java learning journey

    Java