# Xiaoya Xu

> Software Engineer@ Meta

Location: Santa Clara, California, United States
Profile: https://flows.cv/xiaoya

## Work Experience
### Software Engineer @ Meta
Jan 2025 – Present | Menlo Park, California, United States
Reels Ranking.

### Teaching Assistance for Tableau @ Santa Clara University Leavey School of Business
Jan 2025 – Present | Santa Clara County, California, United States
Assisting in the Tableau-based data visualization course, supporting students in developing practical skills in dashboard design, data storytelling, and interactive analytics. 

Responsibilities include offering guidance during office hours, grading assignments and providing feedback on visual best practices and data interpretation. Helped streamline the evaluation process and improved student understanding of real-world visualization use cases.

### Research Assistant @ Santa Clara University Leavey School of Business
Jan 2024 – Present | Santa Clara, California, United States
Responsible for designing a professional and scalable website, integrating AI/ML functionalities, and developing the database infrastructure required to support it. Work closely with the leadership team to ensure the site meets their research and educational needs.
· Design and implement a visually appealing, user-friendly website
· Develop and manage the backend database to support website functionalities
· Incorporate AI/ML features into the website to showcase projects and research
·Ensure the website is scalable and adaptable for future needs. Collaborate with internal teams to gather requirements and feedback
· Ensure high performance and availability of the website

### Teaching Assistant for Machine Learning @ Santa Clara University Leavey School of Business
Jan 2025 – Jan 2025 | United States
Teaching Assistant of Machine Learning with Python.

This course provides an in-depth introduction to machine learning concepts and applications using Python. Topics include supervised and unsupervised learning, data preprocessing, feature engineering, model evaluation, and real-world applications using libraries like NumPy, Pandas, Scikit-Learn, and TensorFlow.

Key Responsibilities:
Assisted in delivering course content, leading review sessions, and clarifying complex ML concepts.

Provided one-on-one support during office hours, helping students debug Python code and optimize 

Graded assignments and projects, ensuring alignment with course learning objectives and fair assessment.

### Teaching Assistant for Image and Video Compression @ Santa Clara University School of Engineering
Jan 2025 – Jan 2025 | Santa Clara County, California, United States
Supported a graduate course on image/video compression (JPEG, H.264, HEVC), graded assignments, and helped explain core topics like entropy coding and DCT. Presented a demo on HEVC video encoding using Zond.

### Research Assistant @ Santa Clara University School of Engineering
Jan 2023 – Jan 2024 | Santa Clara, California, United States
• Utilized MATLAB for bicubic downsampling and VTM software for H.266/VVC encoding at Santa Clara University.
• Employed Python with extended training epochs to enhance super-resolution reconstruction accuracy by 78%.
• Trained a DRRN model with augmented layers for low-resolution video improvement.

### Software Engineer Intern @ Bank of China
Jan 2022 – Jan 2022 | Hubei, China
1. Analyzed a credit database (360,000+ records) using Pandas and Matplotlib to uncover key insights for loan risk management. Engineered features and optimized risk prediction models (XGBoost, LGBM, Logistic Regression) using Grid Search and Bayes Search.
• Developed a fraud detection system, increasing loan risk prediction accuracy by 77% by analyzing risk data and classifying high-risk customers for targeted intervention.

### Research Assistant @ Hubei University
Jan 2020 – Jan 2022 | China
Role: Database Construction, Front and Back-end engineering, Data Analysis, Model Development, Data Visualization, etc.
Involved Projects: 1. Spatiotemporal hotspot prediction of urban population based on Wuhan taxi trajectory data.
2. Knowledge Graph-Driven Big Data Visualization and Mining Methods for Food Safety.


## Education
### Master's degree in Computer Science
Santa Clara University


## Contact & Social
- LinkedIn: https://linkedin.com/in/xxu-xenia

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Source: https://flows.cv/xiaoya
JSON Resume: https://flows.cv/xiaoya/resume.json
Last updated: 2026-04-11