Hi, I'm Georgia Chen.

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A self-motivated and quick learner, passionate about programming and eager to solve complex real-world challenges

About

I am a Computer Engineering Undergrad Student at Univeristy of Toronto. I am a self-motivated quick learner with strong problem-solving skills and 16 months of professional work experience. My background includes working with Python, C and C++, which I have applied in both academic projects and professional settings. I am driven to pursue opportunities where I can contribute to innovative projects and grow as a developer.

  • Languages: Python, C, C++
  • Databases: MySQL
  • Libraries: NumPy, Pandas, OpenCV
  • Frameworks: TensorFlow, PyTorch
  • Tools & Technologies: Git

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Support Reliability and Cost Analyst
  • Focused on aircraft reliability analytics and data automation.
  • Developed a machine learning-based Python program to analyze free-text aircraft snags, extract root causes using clustering (HDBSCAN), sentence embeddings (Sentence Transformer), and keyword extraction (KeyBERT); output structured summaries and root cause statistics
  • Automated aircraft status tracking using Oracle-derived datasets; designed a Python workflow to analyze status trends, compare historical records, update live records, and detect inconsistencies in aircraft operations
  • Designed a Power BI dashboard to visualize aircraft incidents; implemented a real-time alert system using DAX-calculated tables to flag unusual events against multi-year trend baselines
  • Tools: Python, PowerBI, MicroStrategy
May 2024 - Aug 2025 | MHI RJ Aviation Group, Canada
Undergraduate Researcher
  • Led the design and fabrication of an innovative electrode hat utilizing Liquid Crystal Elastomer (LCE) material to achieve one-size-fits-all functionality through body-temperature-driven contraction.
  • Performed chemical experiments to synthesize and test various LCE formulations; created a specialized compound exhibiting controlled contraction with temperature changes.
  • Utilized 3D design software to optimize the hat’s shape using Curvature Characterization of Spherical and Linear Growth derivations; generated STL files and authored code for 3D printing.
  • Fabricated customized molds tailored for LCE, enabling high sensitivity to body temperature.
June 2023 - Aug 2023 | Peking University

Recent Projects

Projects

OCR Receipt Scanner placeholder
OCR Receipt Scanner (PyTorch)

Deep-learning model to automate receipt parsing and expense tracking.

Accomplishments
  • Tools: PyTorch, ResNet, CRNN, VGG16, RNN, CTC Loss
  • Automated extraction of date/time, total, and merchant details from receipts to assist personal expense tracking.
  • Three-stage pipeline: text detection, text recognition, and text extraction.
  • Trained on 1,000+ samples; achieved ~90% accuracy measured via Character Error Rate.
Interactive Map GIS placeholder
Interactive Map Software (C++)

GIS mapping app with GUI focused on usability and responsiveness.

Accomplishments
  • Tools: C++, EZGL, GTK, Git
  • Implemented core pathfinding algorithms: Greedy, A*, and Dijkstra using C++ STL containers.
  • Built night mode, one-way street direction display, and shortest path navigation with heuristic animation and text.
  • Solved the Traveling Salesman Problem variant for route optimization.

Skills

Languages and Databases

Python
MySQL
Shell Scripting

Libraries

NumPy
Pandas
OpenCV
scikit-learn
matplotlib

Frameworks

TensorFlow
PyTorch

Other

Git

Education

University of Toronto

Toronto, Canada

Degree: Bachelor of Computer Engineering

    Relevant Courseworks:

    • Operating System
    • Applied Fundamentals of Deep Learning
    • Software Communication & Design
    • Algorithm and Data Structure

Contact

Places I travelled

Places I travelled to.