CV

Education

• University of Utah
  • Ph.D Candidate in Computer Science
    • Specialization in Human Centered Computing
    • September 2025 - June 2029
• University of California, Santa Barbara
  • M.S. in Computer Science
    • Specialization in Networking
    • September 2023 - June 2024
  • B.S. in Computer Engineering
    • September 2019 - June 2023

Work experience

• Qualcomm, Machine Learning Software Engineering Intern, June 2024 - September 2024
  • Created detailed performance logging metrics to optimize model execution, significantly enhancing the efficiency and effectiveness of machine learning processes.
  • Leveraged Gerrit and Jira to effectively manage project workflows, ensuring timely delivery of high-quality work and seamless collaboration within cross-functional teams.
  • Designed and implemented advanced asynchronous parallel threading solutions for executing machine learning models on CPUs as part of a reference backend, leading to improved processing speed and resource utilization.
• Moment Lab, Graduate/Undergraduate Research Assistant, October 2021 - June 2024
  • Developed an extension using Chrome Extension Manifest v3 to automate the scraping of metadata for streaming services such as YouTube and TikTok.
  • Created servers using Flask and CORS in Python to create endpoints to store metadata, sorted and converted into .csv files for ease of use for further research.
  • Build an application using Docker to collect PCAP and HTTP logs and collect the data listed above on any machine.
  • Analyzed bandwidth data in real-time on the eduroam network, utilizing AI clustering to predict bandwidth requirements required for future development and infrastructure of Wide-Area Networks.
• AVIAI Inc., Fullstack Software Engineering Intern, February 2022 – September 2022
  • Developed their main splash page using React Bootstrap, using Minimal UI for widgets, hosted on Amazon Amplify.
  • Created dashboard pages with Authorization, using AWS Lambda for the backend to populate dashboards with user data.
  • Designed Internal Visualization tools for company use using Charts.js, AMCharts, and ApexCharts.
• The Boeing Company, Visualization and Test Engineering Intern, June 2018 – August 2018
  • Developed backend data organization tools using C# to organize on-site data collected by satellites to be used in real time.
  • Created tools to generate .csv files that have multiple organization protocols within them to be easily used by data analysts.
  • Formed an Official Workshop internally to teach inexperienced interns Python and Object-Oriented Programming.

Projects

• Forta Rugpull Detector, Capstone Project for UCSB, September 2022 - March 2023
  • Developed a detection bot on the Forta network to identify malicious smart contracts on the Web 3.0 space, deployed on both Ethereum and Polygon.
  • Utilized the Forta API along with Python and Solidity to create our detectors while deployed on the Forta blockchain
  • Created ways to identify hidden mints, burns, and self-destruct functions with an accuracy of 95%.

Skills

• Coding Proficiency
  • C#
  • C++
  • Python
  • Java
  • JavaScript
  • HTMP
  • Verilog
  • Assembly
  • CSS
  • SQL
  • Solidity
  • Bash
• Application Proficienct
  • Google OAuth
  • React
  • AWS Amplify and Lambda
  • Docker
  • CMake
  • Gerrit
  • Heroku
  • Codecov