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Hi there, and welcome to my website! You can read about my experience in computer science below. This information is also available on my resume, which you can download as a PDF from the link in the header. To find out more about my work, you can check out my LinkedIn page and GitHub profile. I hope you enjoy your stay!

Education

University of California, Los Angeles (UCLA)

• September 2019 – June 2023 (expected)
• Bachelor of Science, Computer Science
• 3.96 GPA
• Dean’s Honor List, member of Upsilon Pi Epsilon and Tau Beta Pi
• Coursework: Data Structures, Algorithms, Software Engineering, Operating Systems, Security, Graphics, Networks, Databases, Programming Languages, Compilers, Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing

Work Experience

Meta (Facebook)

• Software Engineer Intern
• June 2022 – September 2022
• Menlo Park, CA
• Description:
  • Built new full-stack internal tool for Remote Presence infrastructure with Hack (PHP), GraphQL, Relay, React, Recoil
  • Empowered engineers to visualize and debug RTC calling with a novel handling system for unlimited data sets and sources
  • Independently extended and expanded scope of initial project to create cross-org opportunities for greater engineering efficiency
  • Created full, prototyped design with Figma and led weekly meetings about features and strategy; spearheaded integration strategy with Remote Presence organization’s other teams to quickly implement faster development workflows

Marvell

• Software Engineer Intern
• June 2021 – September 2021
• Burlington, VT
• Description:
  • Designed software that optimizes and analyzes critical components for ASIC AI accelerators and 5G networking products
  • Engineered foundational improvements in chip power, performance, and yield by using Python, Pandas, Jupyter Notebook, and R Shiny to transform tens of thousands of semiconductor data collections and automate pivotal silicon design decisions
  • Expanded sophisticated memory selection software with novel statistics-based features and optimizations using C#, .NET
  • Created presentations, documentation, and diagrams for internal engineering use and demonstration to executive directors

Naval Postgraduate School

• Research Intern
• June 2018 – July 2018
• Monterey, CA
• Description:
  • Guided team’s Android app creation, enabling interaction among defense experts; mentored by Dr. Edward B. Rockower
  • Employed Firebase Authentication/Database/Storage, Android Studio, Java libraries to host Global ECCO’s strategy games and other media; allows gameplay between multiple devices with the use of many Android activities and fragments
  • Spearheaded the development of an iOS application in Swift with a matching feature set and backend integration
  • Authored technical reports and a research poster detailing the project’s findings and achievements; progress enabled by my work included to our OSD leadership sponsor’s 2018 Report to Congress

Technical Skills

• Proficient using Python, C, C++, JavaScript, Bash, PHP
• Experience with C#, Java, Swift, R, HTML, CSS, Assembly, Haskell
• Experience using AWS, Firebase, Node.js
• Proficient with Xcode, Android Studio, React, React Native, Git, Adobe CC, databases
• Expertise in research, technical writing
• Skilled with distributed systems, object-oriented design, full-stack software development

Project and Extracurricular Experience

Upsilon Pi Epsilon at UCLA

• Induction Director
• June 2021 – present
• Los Angeles, CA
• Description:
  • Manage events and communications for the next generation of UPE scholars in service of the UCLA CS community
  • Oversee collaborations with other committee chairs to introduce new networking programs for active members

UCLA DevX

• Engineering Manager
• October 2020 – present
• Los Angeles, CA
• Description:
  • Lead software development for BruinBot, an agile robotic delivery project designed to help UCLA
  • Architect database models and server routing for location and path orchestration by utilizing Node.js, Express, MongoDB, AWS
  • Build a Python bot simulator for deployment with Kubernetes, Docker; designed for use with production hardware
  • Implement innovative delivery mapping and bot GPS features for user-facing mobile app using React Native, TypeScript

UCLA Scalable Analytics Institute

• Undergraduate Researcher
• January 2020 – November 2021
• Los Angeles, CA
• Description:
  • Pioneered work for a research project that automates and improves text identification with natural language processing (NLP)
  • Utilized technologies like Python, PyTorch, and Docker to build novel tag generation machine learning (ML) algorithms
  • Studied NLP academic papers and test existing supervised language models against large datasets to build upon existing neural network development; construct ML data processing for ingestion of millions of textual data points with data mining

Bruin Racing Baja

• Project Engineer
• September 2019 – March 2022
• Los Angeles, CA
• Description:
  • Created electronics to assist the data collection and driving of an advanced all-terrain vehicle built to compete in Baja SAE off-road competitions; worked with low-level control and interaction of vehicle’s subsystems
  • Constructed a Raspberry Pi-based live data collection system that enables further analysis of vehicle behavior

Vibecheck: A Sentiment Analysis Search Engine (project)

• Software Developer (project)
• April 2020 – June 2020
• Los Angeles, CA
• Description:
  • Collaborated with a group of student developers on a full-stack web application with React, JavaScript, and Python; uses a machine learning model to provide sentiment information about any topic from a collection of social media websites
  • Developed the backend MySQL database for search trend storage, all frontend React webpages for user interaction, and data visualizations to display search results; contributed to sentiment algorithm’s design and social media API integration