Steven Romero's Personal Website

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Second-year student @ Caltech Studying CS

About Me

Hi! My name is Steven Romero-Ruiz, a passionate and dedicated second-year student at Caltech, originally from Stafford, Virginia. I am currently pursuing a degree in Computer Science with a keen interest in Machine Learning, Software Engineering, Computer Vision, and Artificial Intelligence.

Outside of academics, I am an avid sports enthusiast. I enjoy playing soccer and basketball, and you can often find me at the gym working on my fitness.

I am always eager to connect with like-minded individuals and explore new opportunities. Feel free to reach out to me via email at stevenromero788@gmail.com or through any of the resources linked below. Keep scrolling to learn more about my professional experience and projects!

Relevant Coursework

Taken:

  • CS 001: Introduction to Programming
  • CS 002: Data Structures
  • CS 003: Introduction to Software Design
  • ACM 011: Computational Science & Engineering Matlab
  • MA 001abc: Calculus of One and Several Variables and Linear Algebra
  • CS 021: Decidability and Tractability

Planned for 2024-2025:

  • ME 008: Introduction to Robotics
  • MA 006a: Introduction to Discrete Mathematics
  • CS 024: Introduction to Computing Systems
  • CS 038: Algorithms
  • ME/CS 129: Experimental Robotics
  • CS 156ab: Machine Learning Systems
  • CS 155: Machine Learning & Data Mining
  • CS 148: Advanced Topics in Vision: Large Language and Vision Models

Technical Skills

Computer Languages:

Python ◦ Java ◦ C ◦ HTML ◦ CSS ◦ JavaScript

Tools:

Git ◦ Jupyter Notebooks ◦ Linux ◦ MATLAB ◦ PyTorch

Languages

English ◦ Spanish

Professional Experience

Research Assistant @ Caltech

July 2023 - Sep 2023

  • Collaborated with a Postdoctoral fellow to design a neural network using Python to predict the residual surface profile of selenium with the input of the micro-indentation test performed on the material.
  • Inspected and normalized thousands of files consisting of force graphs and residual surface profile graphs to train the neural network.

Carnegie Astrophysics Summer Student Internship

June 2024 - Aug 2024

  • Developed a python script that compiled new HI Kinematic distances of known pulsars to assist in developing a new electron density model for the Milky Way galaxy.
  • Implemented a Bayesian inference approach based on a Monte Carlo algorithm to mitigate uncertainties in the newly compiled HI Kinematic distances.
  • The models produced will be presented at the American Astronomical Society conference in January 2025.