Highly motivated, team-oriented software engineer with a track record of developing tools to address novel scientific problems and leading teams in both technical and community settings. Capacity to learn rapidly and commitment to excellence have allowed contributions in sports neurotechnology, neuroscientific research, and defense systems. Seeking opportunities to learn from expert engineers while contributing to cutting-edge technology.

SKILLS

Languages: Python, Java, Rust, SQL, JavaScript, Typescript

Tools/Frameworks: Git, HTML, CSS, React, Bootstrap, Flask, SQLAlchemy, GCP, Postman API, RxJava, Jenkins, Pytorch, Tensorflow

Other: CI/CD, Scientific visualization/computing, Databases (MySQL, PostgreSQL, MongoDB, Neo4j)

EDUCATION

The University of Texas at Austin, Austin, TX – May 2024

Bachelor of Science in Neuroscience, Certificate in Computer Science

GPA: 3.99 - High Honors

Relevant Coursework: Software Design, Software Engineering I, Software Engineering II, Databases, Data Science, Neural Systems III

EXPERIENCE

Dell Technologies Inc., Round Rock, TX – February 2025 - Present

Software Engineer

  • Debug and optimize core components of an enterprise-scale Java codebase for enterprise storage product
  • Add and refine unit tests to improve software reliability across legacy systems
  • Collaborate across teams to integrate shared infrastructure with minimal disruption to existing systems
  • Leverage Jenkins and RxJava to streamline CI/CD pipelines and improve asynchronous operations

Mach Industries, Huntington Beach, CA – June 2024 - August 2024

Software Engineering Intern

  • Implemented framework for Monte Carlo simulation of unmanned aircraft in Rust to support development of flight controller and to generate metrics for vehicle stability and navigation accuracy
  • Extended open source flight simulation software to determine stability of unmanned aircrafts given different aerodynamic inputs
  • Developed aerodynamic database and configuration management system used in multi-disciplinary optimization and analysis framework for aircraft design updates

The Center for Learning and Memory at UT Austin, Austin, TX – September 2022 – August 2023

Undergraduate Researcher

  • Designed a Python-based data processing tool alongside neuroscientists and electrophysiologists for solving inhibitory/excitatory neuronal conductances from membrane voltage data
  • Contributed to advancing scientific understanding of Dravet syndrome via robust biophysical modeling

Optios, Austin, TX – June 2022 – August 2022

Software Engineering Intern

  • Adapted Optios’ neuroperformance training app, originally specialized for PGA Golf players, for Major League Baseball athletes
  • Created comprehensive tests for Optios EEG headset and UI to reduce bugs and improve customer experience
  • Developed test plan for QA testing of Optios EEG headset and UI for future QA engineers

CERTIFICATIONS

  • Advanced Learning Algorithms – DeepLearning.AI (Coursera), 2024
  • Supervised Machine Learning: Regression and Classification – DeepLearning.AI (Coursera), 2024

PROJECTS

SpaceWanderer – January 2024 – April 2024

  • Directed a 4-person team in developing a full stack astronomy education platform using Python, React, and PostgreSQL while leveraging Agile methodologies and cross-functional collaboration
  • Troubleshot frontend and backend integration issues to ensure seamless data flow and interactive UI experience