Anthony Padilla

Education

Experience

Projects

About Myself

My name is Anthony Padilla, and my favorite activity in the world is the pursuit of knowledge, and expanding my education.I'm extremley passionate about learning, in any context. I belive to continue learning is to continue living, and I plan to live forever.

It's difficult to pin down exactly where I am, and where I'm going (uncertainty principle reference). Long term, my goal is to be an educator. Short-term, the goal is to gain the experience neccesary to be a great educator.

I'm a proud graduate of the University of California, Riverside. My technical backround is quite sparese, as I've been fortunate enough to have had experiences in multiple areas of Computer Science, such as Mobile Networks, Machine Learning, Graphics, Simulation, and Embedded Systems.

Hobbies

My Hobby is having hobbies.I've been into fragrances, biking, rock-climbing, card collecting, thrifting, recently added sewing and working with clay. The ones that have stood the test of time are reading, consuming lots of media, and running ( I also love my concerts ).

The hardest part about having many hobbies is the amount of time you spend as a beginner. Learning something new requires you to start from square one, each and every time. But over time, you get comfortable being uncomfortable, and being a beginner becomes a hobby in and of itself.

I have a backlog of hobbies, including fishing, 3D modeling, and learning how to play guitar. Of course, each and every skill I want to learn takes an immense amount of time, but time will pass anyways.

Backlog Projects

Projects that I currently have on the backburner are
  • Android Security Cameras
  • Custom 3D Printed motherboard enclosure
  • Movie Logging Program

Education

I recieved my degree's from the University of California, Riverside from the Marlan and Rosemary Bourns College Of Engineering (BCOE). Go Highlanders !

Masters (BS+MS) in Computer Science 2025 - 2026

I was awarded my Masters through the BS+MS program at BCOE. I graduated through the Project Capstone option.

Bachelors in Computer Science 2021 - 2025

I completed my undergraduate education at UCR. Originally I was a different major, but prior to my first term I decided to change my major to Computer Science. A wonderful decision.

Minor in Mathematics 2024-2025

I decided to purse a Minor in Mathematics rather late into my undergrad education. I made the decision after enjoying MATH031 - Intro To Linear Algebra.

Experience

Teaching Assistant @ UCR - CS111 January 2026 - June 2026

I was fortunate enough to TA for the course CS111- Discrete Structures. A class I myself struggled with during my undergrad, I had a wonderful experience teaching students and leading discussions. My responsibilites included:

  • Hosting two weekly discussion sections covering course content
  • Hosting weekly office hours to assist students in homework or studying for quizzes
  • Recording supplementary material when needed ( holidays, schedule changes )
  • Proofreading and assisting in exam creation
My experience as a TA only furthered my desire to one day be an educator, as nothing is as fullfulling as teaching others (plus I talk alot ).

Exam Proctor - BCOE Testing Center September 2025 - January 2026

I had experience proctoring Quizzes and Exams in the BCOE Testing Center. Responsibilites included the punctual and proper delivery of exams, as well as preventing academic dishonesty.

Undergraduate Learning Assistant @ UCR September 2024 - June 2025

As an Undergraduate Learning Assistant (ULA), I would hold multiple sessions of supplementary office hours for Computer Science courses. I was the head learning assistant for CS111 - Discrete Structures. I'd typically host 16 - 20 hours per week.

IT Student Technician - BearHelp January 2024 - October 2025

I worked as a student IT Technician for Bear Help at UCR. Job duties included assisting in account recovery, authentication assistance, and troubleshooting for Students, Staff, and Faculty. Towards the end of my time at Bear Help my responsiblities grew, which included imaging of University devices, and assisting in equipment installation.

I've also had interesting 'minimum-wage' jobs. One contributed to a caffeine fixation (not addiction). Out of desire for privacy, but to show I've built some character, I'll quickly mention them.

Barista - The Coffee Bean and Tea Leaf 3 years
Line Cook, Dishwasher - Gen Korean BBQ 2 years

Certifications and Awards

UR2PhD Undergraduate Research Training Coure Participant - Computing Research Association

Machine Learning Specilaization - DeepLearning.AI, Stanford University

UR2PhD Undegraduate Research Stipend Recipient - Summer REU 2025

Projects

For a fun and interactive project viewer, click the button bellow ;)

Masters Capstone: 3D/2D Fluid Simulation and Rendering This project presents the implementation of the Fluid Implicit Particle scheme, a hybrid Eulerian-Lagrangian approach for modeling fluids. In order to address the computational bot- tleneck of the pressure-projection step, a Preconditioned Conjugate Gradient iterative method using a Modified Incomplete Cholesky preconditioner was implemented, which significantly accel- erated convergence for the Poisson equation in both 2D and 3D. The final result is a physically plausible fluid simulation in 2D and 3D rendering with high visual fidelity using industry-standard tools
UR2PhD Research: 5G Power Consumption On Raspberry Pi After participating in the Fall 2024 UR2PhD Cohort, I was able to continue the research I had begun with my Project Advisor for the Summer 2025 UR2PhD REU. Over the course of 10 weeks, my project partner and I worked on completing our initial research project proposal from the Fall Cohort, supported by a stipend from UR2PhD.The goal of the project was to succesfully monitor and log power consumption of a Rasberry Pi 5 through various use cases, specifically when using a 5G HAT as the network interface. Long term, the goal would be analyze control messages during transmission, to see if there were any possible avenues to decrease 5G Power consumption.