Aspiring Software Engineer with hands-on experience in building with AI, data, and efficient systems. I focus on clean code, scalable solutions, and continuous learning.
- 🎓 Computer Science at the Paul G. Allen School @ University of Washington
- 💻 Interests: Machine Learning, AI, NLP, Prodcut Management, Design
- 🌱 Currently learning: Go, gRPC, programming with VMs, Python for Data Science
- 📫 Reach me: widjajacaitlyn@gmail.com
- Languages: Java, Python, C#, SQL
- Frameworks & Tools: React, Node.js, Flask, Docker, Git, Django, .NET
- Databases & Cloud: PostgreSQL, MySQL, Azure DevOps,
- Other: REST APIs, Test-Driven Development, Model Fine-tuning, Neural Networks, Mobile Development
| Project | Description | Tech |
|---|---|---|
| Enhahncing MadVerse Dataset Annotations | Automated design attribute annotation for 50K+ ads using OCR and vision models, improving brand-aligned ad generation quality by 36% in CLIP alignment. | Python, Tesseract OCR, OpenCV, ONNX, CLIP |
| Census Income Prediction | Developed binary classification model predicting $50K+ income from census data with 87% accuracy using Gradient Boosting. | Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Jupyter Notebook |
| Salesforce CRM Intelligence Assistant | Developed an AI Intelligence CRM Tool | Python, Sentence Transformers, Gradio, ChromaDB |
- Experience with version control, code reviews, and collaborative development
- LinkedIn: [linkedin.com/in/caitlyn-widjaja]
- Email: widjajacaitlyn@gmail.com or caitlynw@uw.edu