CV

MS in Applied Cognitive Neuroscience

University of Texas, Dallas, TX US

• Completed Coursework - Cognitive Neuroscience, Neural Network Mathmatics
• GPA - 4.0

BS in Computer Science & Statistics

University of Illinois Urbana-Champaign, Champaign, IL US

• Completed Coursework - Statistics, Calculus, Differential Equations, Data Programming, Data Structures & Algorithms, Linear Algebra, Systems Programming, Statistical Modeling & Regression, Artificial Intelligence, Database Systems
• Minor in Psychology
• GPA - 3.87

Research Assistant

• Developing piplines for future Projects
• Independent Research on Neural Networks

Research Assistant

• Collaborated with PhD candidates on neuroscience research regarding astrocytes
• Developed classification and behavior models as well as analysis while assisting with experiments

Software Engineering Intern

• Developed topic-specific large-language models (LLMs), contributing as a key member of the engineering team.
• Automated web scraping across multiple platforms, delivering critical data to support team operations.

Software Engineering Intern

• Contributed to the development of the Bag Manager platform for internal use, utilizing C++ and JavaScript with AWS, Spring Boot, and Kafka
• Successfully deployed production level code for internal client applications and external web-based use, impacting every United Airlines passenger and employee
• Took part in project management activities, grooming user stories, effectively coordinating with team members, monitoring progress, and ensuring timely project delivery in an agile work environment

Undergraduate Researcher

• Programming Smart Contracts for an insurance company and Data Analysis with datasets
• Working in a small group with other 5 undergraduates supervised by Dr. Runhuan Feng
• Backend and Smart Contract programming with Solidity and Dataset Analysis with Python

Engineering Intern

• Engineering Intern at a Startup Studio working to develop MVPs
• Held meetings with clients to gain further design insights into what the application requires
• Used TensorFlow to mask and segment images for body parts and their lengths
• Used Python to scrape images of models/celebrities from Google and preprocess them for testing the product
• Created formulas to translate body dimensions into sizes of clothing in JavaScript
• Developed mobile front-end dev in Swift and tested on an upcoming location-based tourism mobile app

Construct Energy Efficiency

• HackIllinois 2022 Winner. A web app that predicts the energy efficiency of a building given its characteristics.
• Deployed with Heroku, Dataset from UCI, Built with CSS and JS, Modeled using Python

PyTorch NLP Lessons

• A series of lessons on PyTorch for NLP. Includes tutorials on how to use PyTorch for NLP tasks.
• Built with Python, PyTorch, and Jupyter Notebooks