About Me

I’m currently a data scientist working with Meta’s Data Center team where I build analytics, develop data tooling, and translate large-scale infrastructure data into actionable insights. I hold a Master’s degree in Electrical Engineering and Computer Science from UC Berkeley, with a strong foundation in applied machine learning, data modeling, and end-to-end problem solving.

I’m particularly interested in the intersection of technology with impactful real-world domains, especially healthcare and energy. I’m motivated by work that pushes technical boundaries while improving lives, and where solutions are built not just to optimize metrics, but to move the world forward in meaningful ways. My long-term goal is to contribute to technology that creates safer, healthier, more sustainable systems for people and communities.

My Resume

My Projects

Traffic Signal Schedule Correction Tool

Miovision Project

  • Computer Vision
  • Convolutional Neural Networks
  • LLM Finetuning
  • Python (Numpy, Pandas, Pytorch, Huggingface)
Project 1

Machine Learning for Medical Image Analysis: A Tool for Early Detection of Cardiovascular Disease

UC Berkeley Capstone Project

  • Image Segmentation
  • GPU and High-Performance Computing (HPC)
  • Machine Learning Model Training and Optimization
  • Interdisciplinary Team Collaboration
  • Stakeholder Management
Project 1

Disaster Type and Damage Level Classification

UC Berkeley Data Science Project

  • Python (Pandas, Numpy, Sklearn, Matplotlib, Seaborn)
  • Computer Vision
  • Exploratory Data Analysis and Data Visualization
  • Feature Engineering
  • Model Training and Evaluation
Project 1

Parallelizing the Genetic Algorithm for BoxCar2D

UC Berkeley Parallel Programming Project

  • C++
  • MPI
  • Parallel Programming
  • Genetic Algorithms
Project 3

Skills

  • Programming Languages:
    • Python: numpy, pandas, pytorch, sklearn, seaborn, matplotlib, huggingface
    • SQL
    • C
    • C++
    • R
    • MASM
  • Programming Skills:
    • GitHub
    • Machine Learning
    • Parallel Programming: MPI, OpenMP, CUDA, OpenCL
    • Data Engineering
  • Applications:
    • Microsoft: Word, Excel, PowerPoint
    • PowerBI
    • QGIS
    • Google Earth
    • Paraview
  • Other:
    • Data Collection and Analysis
    • Basic German and Mandarin Understanding