I'm Yingying Gong.

I'm an undergraduate at California Institute of Technology (Caltech) studying Computer Science, currently interning at New Relic to build machine learning models for CPU utilization prediction.

In my free time time, I am a passionate reader, cook, driver, and cyclist. I like to learn new things and meet new people.

Resume Contact

About me

Rising junior studying CS at Caltech. I'm passionate about software engineering, machine learning, and applied probability. I'm currently interning at New Relic to build machine learning models for CPU utilization prediction. I am an easy-going person who loves to learn new things and meet new people. I am always open to new opportunities and challenges.

Location:Portland, OR
Hometown:Nanjing / China
Study:Computer Science at Caltech
Interests:Reading, Cooking, Driving, Cycling

Education

B.S. Computer Science

California Institute of Technology•Sept 2022 - Present

GPA: 4.0/4.0

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

Experience

Software Engineer Intern

New Relic Inc., Portland, OR•June 2024 - Present

Building machine learning models to predict CPU utilization, as a backend for RESTful API in data traffic monitoring.

Research Assistant

California Institute of Technology, Pasadena, CA•Apr. 2023 - Dec. 2023

Advisor: Dr. Matt Thomson, 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.

Skills

Languages

Python, C/C++, Rust, Java, MATLAB, JavaScript, HTML, CSS, Swift

Technologies

Git, AWS, React.js, MySQL, PyTorch, Linux

Methodologies

Agile, Scrum, OOP, DevOps, CI/CD

Most common used programming languages:

Python

Rust

Check out some of my work

2D Physics Engine for Video Game

Key Contributions:

Led a Team of 4, familiarized with quality control, following agile and scrum methodologies.
Developed memory-efficient C libraries for Physics forces and graphics in polygons by vector math.
Designed a multimedia 2D video game, “Beaver Run”, with the Physics engine, visualized by SDL2.

DSPIN: Python Package for Network Construction from scRNA-seq Data

Key Contributions:

Built the API with Object-Oriented Design, encapsulated functions for intuitive use by non-technical clients.
Improved the computational efficiency up to about 250% by pseudolikelihood algorithms for high parameters.
Transformed laboratory codes into a polished, industry-standard Python package, ensuring robustness.

My-Grep: NFA-backed Fast Regex Engine

Key Contributions:

3k+ Rust Codes from scratch
Developed my own grep with a nondeterministic finite automata (NFA) and O(n) algorithm for string matching.
Implemented prefix extraction for NFA together with Boyer-Moore literal search optimization for fast matching.

Zip: Personal Gzip for Data Compression

Key Contributions:

4k+ Rust Codes from scratch
Built personal zip application with DEFLATE stream, compressed with canonical huffman coding and LZ77 algorithm.
Profiled codes to track its performance and compared with other compression algorithms in speed and space utilization.

Get in touch.

Feel free to reach out to me.

Email: Email
Location: Pasadena, CA
Github: GitHub@YingyGong
LinkedIn: LinkedIn