MS in Data Science @ University of the Pacific (May 2026) | Full-Stack Engineer | AI & Cloud Enthusiast
I'm a Master's student in Data Science at the University of the Pacific (Graduating May 2026), specializing in bridging the gap between Machine Learning and Software Engineering. I have experience building full-stack AI applications with Docker, GCP, and CI/CD pipelines. I am actively seeking full-time roles in Data Science, ML Engineering, or Software Development.
- M.S. in Data Science @ University of the Pacific (GPA: 3.95/4.0)
- Software Intern @ Birthday Messaging: Engineered automated scheduling systems and mass data pipelines using Flask and React.
- My technical focus is Computer Vision (YOLOv8), NLP (Spacy, LLMs), and Cloud Architecture (GCP, Docker).
- I build production-ready applications, moving beyond notebooks to deploy models on Cloud Run and iOS (SwiftUI).
- Seeking a full-time role with visa sponsorship upon graduation in May 2026.
Here are the primary technologies I work with:
| Languages & Mobile | AI & Machine Learning | Web, Cloud & DevOps |
|---|---|---|
| Python | PyTorch | React.js |
| JavaScript | TensorFlow / Keras | FastAPI / Flask |
| Swift | YOLOv8 (Vision) | Docker |
| SQL (PostgreSQL) | Spacy (NLP) | Google Cloud Platform |
| HTML/CSS | Gemini API | GitHub Actions (CI/CD) |
Here are some of the projects I'm most proud of.
| Project | Description | Tech Stack |
|---|---|---|
| GoPark: AI-Powered Parking System | Engineered a real-time detection pipeline using YOLOv8 and Spacy, served via a containerized FastAPI backend to a SwiftUI iOS app. | Python YOLOv8 FastAPI Docker SwiftUI |
| DeepTSMC: Stock Forecasting | Achieved 2.19% Test MAE using FFN models. Implemented CI/CD pipelines via GitHub Actions and deployed on Google Cloud Run. | TensorFlow React Docker GCP CI/CD |
| JobFit AI | A Generative AI career tool. Integrated Gemini API for resume parsing and skill gap analysis, boosting user retention by 30%. | Python Flask React Gemini API Firebase |