guest@guest:~$ cd ~/about
guest@guest:~/about$ cat about.txt
About Me
Hi, I'm Paul. During my Master's degree in Computational Physics, I gained research experience writing multi-threaded simulations in C for a high performance computing (HPC) cluster and leveraging Python for data analysis. I am passionate about solving complex optimization problems, writing readable, well-tested code, and being a strong team player. I'm excited to continue learning more about the latest trends in full-stack development. Thank you for visitng my website, feel free to take a look at some of my recent projects below as well as the source code for this site.
Skills/Programming Languages:
guest@guest:~/about$ cd ~/projects
guest@guest:~/projects$ cat projects.txt
Projects
Demo Video
Mean-Variance Analyzer
October 2022 - March 2023
- Developed a progressive web app (PWA) for financial portfolio optimization with React.js deployed on Gatsby Cloud
- Gathered, cleaned, and modified financial market data with IPython/Jupyter and Pandas
- Ensured accuracy of linear algebra functions across updates with unit tests utilizing Jest
- Designed custom UI/UX with CSS modules and incorporated requests from multiple code reviewers via Git
- Lighthouse report - Performance: 100, Accessibility: 97, Best Practices: 100, SEO: 100
Master’s Thesis: A Systematic Method for Constructing Realistic Potentials in Real Space for Use in Fractional Quantum Hall Monte Carlo Simulations
January 2020 - September 2022
- Distributed multi-threaded calculations across nodes of a high-performance computing (HPC) cluster via C, MPI, and Linux
- Cleaned, visualized, and analyzed data with IPython/Jupyter, Numpy, Pandas, Matplotlib and SciPy
- Constructed scheme for incorporating novel effects into simulations of systems studied for quantum computing applications
Wolfram Physics Project: Rules Generating Elementary Particle Behavior in the Wolfram Model
December 2020 – January 2021
- Generated hypergraph defect evolutions via Wolfram programming language and utilized machine learning to find clusters
- Established framework for discovering rules which induce particle-like motion in topological defects on a hypergraph
- Selected to join exclusive collaboration of international researchers where project was awarded Staff Pick
guest@guest:~/projects$ cd ~/education
guest@guest:~/education$ cat education.txt
Education
Online Courses/Certifications
- LinkedIn Learning: Advanced NLP with Python for Machine Learning (01/2023), Parallel and Concurrent Programming with C++ (12/2022), C Programming for Embedded Applications (12/2022), Advanced Linux: The Linux Kernel (12/2022), Linux Device Drivers (12/2022), Become a Full-Stack Web Developer (10/2022), Tableau and R for Analytics Projects (02/2022), Learning Assembly Language (12/2021), Ethical Hacking: Scanning Networks (08/2021)
- Udemy: Financial Engineering and Artificial Intelligence in Python (01/2022)
- Certifications: Certified LabVIEW Associate Developer (01/2021), Wolfram Certified Level II in Multiparadigm Data Science (07/2020, Source Code)
California State University, Long Beach (CSULB) | Long Beach, CA
Degree Conferred: August 2022
Master of Science in Physics, Computational Physics Option, GPA: 4.00
- Awards/Honors: Google Summer Research Assistantship, Graduate Dean’s List of University Scholars and Artists (top 1% of graduate students in the College of Natural Sciences and Mathematics)
Loyola Marymount University (LMU) | Los Angeles, CA
Degree Conferred: August 2016
Bachelor of Science in Physics, Minor in Applied Mathematics
- Awards/Honors: Dean’s List, LMU Achievement Award, Sigma Pi Sigma
guest@guest:~/education$ cd ~/experience
guest@guest:~/experience$ cat experience.txt
Experience
Graduate Assistant/Teaching Associate
August 2019 – May 2022
CSULB Physics Department | Long Beach, CA
- Led students through the development and testing of computational physics simulations in Python
Physics/AP Physics Teacher
August 2016 – June 2019
Saint Monica Catholic High School | Santa Monica, CA
- Directed students on how to leverage statistical techniques for data analysis in Microsoft Excel