I am a student at UCLA, majoring in Computer Science.
Education
University of California, Los Angeles
Bachelor's Degree | 2022-2025
Major: Computer Science
Relevant Courses: CS 181: Theory of Computing, CS 180: Introduction to Algorithms and Complexity, CS 161: Fundamentals of Artificial Intelligence, CS M151B: Computer Systems Architecture, CS M148: Data Science, CS M146: Machine Learning, CS 145: Data Mining, CS 144: Web Applications, CS 143: Data Management Systems, CS 131: Programming Languages, CS 118: Computer Network Fundamentals, CS 111: Operating Systems Principles, CS 35L: Software Construction, CS 33: Computer Organization, CS 32: Data Structures and Algorithms, MATH 142: Mathematical Modeling, MATH 115A and 33A: Linear Algebra, MATH 33B: Differential Equations, MATH 32A/B: Multivariable Calculus, STATS 100A: Introduction to Probability, EC ENGR C147: Neural Networks and Deep Learning, EC ENGR 133A: Applied Numerical Computing, EC ENGR M16: Logic Design of Digital Systems
Santiago Canyon College
Community College Credits | 2018-2022
Villa Park High School
High School Degree | 2018-2022
Awards: Summa Cum Laude
Experience
Data Annotation
AI Data Specialist | 2024-Present
Use reinforcement learning from human feedback (RLHF) to enhance the efficiency of machine learning models' learning process. Guarantee that models comply with legal and ethical responsibilities, such as ensuring they are harmless, truthful, and safe. Initiate engineering procedures with diverse parameters and generate evaluations of outcomes. Perform quality assurance on the work of other analysts, including prompts, feedback, discussions, and ensuring adherence to instructions.
Upsilon Pi Epsilon, UCLA
International Honor Society Member | 2023-Present
Projects
Personal Website
Developed a personal website that is hosted on github pages using html, css, and javascript.
Peach Party Project
Constructed a 2-player game where characters and 2 enemy types move along a 16x16 grid following different algorithms and possess states depending on 6 square types on the grid, competing for the most coins in 1 minute
Making an Interpreter
Created an interpreter for a language called Brewin supporting typical arithmetic and comparison operators, dynamically-scoped variables, first-class functions, lambdas, pass-by-reference and pass-by-value, limited type coercions, objects and all operations on objects, and prototypal inheritance using an abstract syntax tree
Reliable and Secure Network Communication System
Developed a reliable, encrypted bidirectional data transfer protocol over UDP. Implemented AES-256 encryption, HMAC for authentication, and ECDSA/Diffie-Hellman for secure key exchange. Ensured data integrity and confidentiality using TLS-like handshakes and cryptographic standards.
WNBA Dataset
Analyzed a WNBA dataset throughout the data science life cycle. Neural networks and K-means classification are among some of the models I have used to understand and predict sports trends. Data provided by basketball-reference.com.