Kelly Ma

Hello, my name is Kelly ;

I'm a third-year Computer Science student at the University of California, Riverside interested in 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 and 𝗔𝗜/𝗠𝗟 ☆

some music for you ♫

Contact

kellyma.dev@gmail.com

in/kellyma626

@kellyma626

resume

Kelly

"Welcome to my personal portfolio website.
Click on the pixelated sprites to learn some fun facts about me!"

Skills

Languages: Python, C++, JavaScript, TypeScript, HTML/CSS

Frameworks: React/React Native, Next.js, Tailwind CSS, Expo, NativeWind

Libraries: NumPy, Pandas, scikit-learn, Matplotlib, Seaborn, Keras, Tensorflow

Tools: GitHub, GitHub Actions, GDB, Valgrind, GoogleTest, Supabase, Figma, Gemini API

Experience

𝗠𝗔𝗖𝗛𝗜𝗡𝗘-𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚.𝘁𝘅𝘁

Machine Learning Fellow

Fitch Group, Inc.

August 2025 - Present

Built ML models (Logistic Regression, Random Forests, XGBoost) on accounting time-series data from 8,000+ U.S. companies (1999–2018) for corporate bankruptcy prediction, supporting Fitch in credit risk assessment.
Performed feature engineering and handled class imbalance, optimizing AUC-ROC, F1, and Type II error metrics.
Collaborated weekly with teammates and Fitch stakeholders to translate findings into actionable insights.

*Fitch Group is a global leader in financial information services and the parent company of Fitch Ratings (credit ratings & research) and Fitch Solutions (market intelligence, analytics, & tools).

𝗟𝗦𝗣𝗔𝗖𝗘.𝘁𝘅𝘁

L’SPACE Lead Engineer

National Aeronautics and Space Administration (NASA)

March 2024 - June 2024

Researched AI and control methods (PID, MPC-lite, reinforcement learning) for adaptive moisture and nutrient management in microgravity plant systems, informing a competitive $10K NASA seed funding proposal.
Authored proposal content with 5 subject matter experts to evaluate feasibility and align with NASA priorities.

*Current ISS plant systems rely on inefficient wicking and manual control, causing uneven watering and root hypoxia. This project creates an autonomous growth system using RBC cryo-aerogel beads and AI to balance moisture and nutrients.

𝗔𝗥𝗧𝗜𝗙𝗜𝗖𝗜𝗔𝗟-𝗜𝗡𝗧𝗘𝗟𝗟𝗜𝗚𝗘𝗡𝗖𝗘.𝘁𝘅𝘁

Artificial Intelligence Fellow

Break Through Tech AI at Cornell Tech

May 2025 - Present

Selected from 4,000+ applicants for a year-long AI fellowship applying CRISP-DM to real-world ML projects.
Developed foundational AI/ML skills through hands-on projects with neural networks, sentiment analysis, and industry tools, earning Machine Learning Foundations certification from Cornell University.

*Read about the program here.

𝗥𝗘𝗦𝗘𝗔𝗥𝗖𝗛.𝘁𝘅𝘁

Undergraduate Research Assistant

University of California, Riverside

October 2024 - Present

Implemented models (Random Forests, SVM, XGBoost, MLP, Ensemble Voter) to classify 3,360 samples of student vs AI-generated code using TF-IDF and CodeBERT embeddings, supporting integrity in early CS education.
Collaborated weekly with faculty and Ph.D. mentors to refine experimental methodology and interpret findings.

*This is a preview of my final presentation for the UR2PhD Research Methods course, where I discuss my research proposal.

Projects

Choose a game card to check out my projects!

Additional projects in migration.

Women in Computing Website

React.js, Next.js, Tailwind CSS, GitHub

October 2023 - December 2023

Developed a responsive website for Women in Computing at UCR to showcase club info
Used GitHub Issues to organize work, and collaborated through weekly Agile scrum meetings

Identified recurring production inconsistencies caused by hardcoded event data; implemented dynamic component generation, removed 250+ lines of redundant code, and initiated a broader cleanup across the codebase

email linkedin github resume