Hi, I'm Georgia Chen.
A
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
- 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
- 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.
Recent Projects
Projects

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

GIS mapping app with GUI focused on usability and responsiveness.
- 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



Libraries





Frameworks


Other

Education
Toronto, Canada
Degree: Bachelor of Computer Engineering
- Operating System
- Applied Fundamentals of Deep Learning
- Software Communication & Design
- Algorithm and Data Structure
Relevant Courseworks:
Contact
Places I travelled
Places I travelled to.