About Me

I have a passion for solving complex problems through optimization and machine learning. Currently, I am focusing on using coevolutionary algorithms to detect tax fraud.

University: Massachusetts Institute of Technology

Degree: BS: Computer Science and Engineering

Graduation: Aug. 2024 - May 2028

Interests

Artificial Intelligence and Machine Learning
Software Engineering
Optimization

Education

View Coursework & Details

Experience

Research & Industry Roles

Skills

Languages, Tech Stack & Interests

Contact

LinkedIn www.linkedin.com/in/kimberly-ys-zhang Email kyzhang@mit.edu

Detailed Experience

Experience

Undergraduate Researcher

MIT CSAIL ALFA Lab Sep. 2025 – Present

Research applications of Natural Language Processing and Coevolutionary Algorithms
Model complex transaction scenarios and tax calculations in Python

Software Engineer Intern | Full Stack Development & Data Modelling

Falpha.ai Oct. 2024 – Aug. 2025

Built company website with React webpages, Node.js API data pipeline, and MongoDB database hosted in AWS
Optimized crawler algorithm in Python to improve data processing speed by 80%
Researched methods to reduce data noise in AI financial model training dataset
Restructured data with better models and indices in MongoDB database to improve query speed
Enhanced company website UI with comprehensive financial trading graphs
Collaborated with teams in an Agile Development environment