I'm Yingying Gong.

GPA: 4.0/4.0

Featured Coursework: Algorithms, Machine Learning, Statistical Inference, Probability Models, Stochastic Processes, Software Design, Computer Systems, Data Structures

Team: Capacity Engineering under Cloud Infrastructure

Mentors: Jon Guymon, Dr. Xin QiManager: Bhavin Thaker

• Conducted two projects, one in machine learning model development and deployment, the other in Java microservice.
• Created regression models on time-series CPU utilization data for load forecasting and balancing.
• Built the ML model deployment pipeline in Azure Databricks including data collection, ETL, and model training.
• Developed a Java-based web application for managing cloud account health for alert management of cloud services.

Advisors: Dr. Matt Thomson, Dr. Jialong Jiang, California Institute of Technology

Project: Application of Dimensional-reduced Perturbation Network

Field: Machine Learning for Science, Computatioal Biology

• Worked directly with the principal investigator and a PhD on a research project pending publishing.
• Analyzed large scale (1M+ times 10k+) high dimensional data by dimensional reduction and clustering.
• Reconstructed integration networks from 2M+ cells by stochastic gradient descent and MCMC algorithm.
• Skilled in evaluating machine learning models and managing Linux clusters by Slurm.