Work and Research Experience

A brief overview of my computer science career and academic research.

Career Journey

I began my professional career as a sophomore in college, joining the Office of Academic Support at the College of Staten Island as a tutor in computer science and math. I tutored other college students in algebra, calculus 1 and 2, intro to computer science, networking, and data structures. Soon after, I received an opportunity to participate in the CUNY Career Launch program as a software engineering intern for the summer of that year, and join a startup in New York City called Unadat, a company that seeks to promote financial responsibility with custom goal saving plans. I worked on allowing users to create saving challenges as part of an Agile team using Asana. The following summer, I joined Walmart Global Tech in Bentonville, Arkansas as a software engineering intern. I worked full-stack with Spring Boot and SQL, as well as React. There, I worked with a team in the accounts receivable department using Jira. Most recently, I have started research in machine learning. Under the guidance of my advisor, Dr. Yumei Huo, I analyzed two million rows of housing data in New York City and built a model using Random Forest Regressor that estimates the price of a house as a tool to assist buyers and sellers of real estate.

Major Work and Research Projects

  • Saving Challenges

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    Queried and saved user data using SQL and PHP. Created a user interface to make saving challenges with Javascript, JQuery, HTML, and CSS.

  • Retail Link Agreements

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    Created an API using Springboot and wrote queries for retail agreements with SQL. Designed a user interface in React integrating API and exported financial data to Excel for use by the accounting department.

  • House Pricing Research

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    Created a model to predict residential housing prices using data from Kaggle on New York housing sales from 2002 to 2023. Achieved 80% accuracy on test set using Random Forest algorithm.