Education

Bachelor of Science in Computer Science

Oregon State University, June 2024

Bachelor of Science in Biochemistry

University of Texas at Austin, May 2015

Skills

Programming Languages

• Python
• JavaScript
• C
• SQL
• R
• HTML

Frameworks and Technologies

• Node.js
• Express.js
• LabVIEW
• Matplotlib
• Flask
• REST APIs
• Git
• Google Cloud Platform
• Docker
• NoSQL
• Postman

Projects

W.H.O.M.M.P

• Created a real-time biometric monitoring system using Python/Tkinter that interfaces with Arduino sensors to track and visualize multiple health metrics and exercise parameters.
• Integrated multi-threaded data acquisition and dynamic visualization using Matplotlib, including auto-scaling graphs, live display of data streams, and custom calculations for derived metrics.

Commute Optimizer

• Deployed a Python microservice to continuously collect real-time traffic patterns using Google Maps API and OpenWeather API to optimize my commute times, saving 20 hours of driving a year.
• Implemented a REST API that connects to a MariaDB database and allows for data to be visualized on a self-hosted Node.js/Express.js website through dynamic D3 graphs.

Course Management System

• Architected and deployed a full-stack RESTful API for a course management system, implementing role-based access control with Auth0 authentication and JWT token validation.
• Designed and implemented a scalable data architecture in Flask using Google Cloud (App Engine, Datastore, Storage) with automated Postman testing.

Work Experience

Research Scientist Associate

Dell Medical School – Dept. of Neurology, Austin, TX

May 2021 - Current

• Managed a team of 8 in conducting complex research projects to analyze neurological data and develop insights into spinal cord function and recovery as part of a Department of Defense Grant.s
• Recreated a closed-source software to enhance usability, enabling tailored data analysis and visualization for users without coding experience.

Research Assistant II

Vanderbilt University Medical Center - Dept. of Anesthesiology, Nashville, TN

Mar 2017 - Oct 2020

• Boosted lab productivity 25% by developing and implementing R scripts to automate data analysis, summarization, and quality control streamlining research processes for the entire team.
• Planned and built a modular data acquisition system from scratch saving $80,000 in equipment costs and enabling more custom experiments to be run based on various individual needs.
• Consulted on grant writing as a subject matter expert, providing guidance on research methodologies and technical aspects to ensure proposal alignment with funding requirements.

Research Scientist Assistant

University of Texas at Austin - Dept. of Nutritional Sciences

May 2015 - Dec 2016

• Designed and managed databases for longitudinal studies, ensuring accurate tracking of nutritional and metabolic data
• Trained, supervised, and coordinated a team of 10-15 lab members ensuring adherence to protocols and maintaining data integrity throughout complex longitudinal studies.

Coursework

• Intro to Computer Science - Overview of fundamental concepts of computer science. Introduction to problem solving, software engineering, and object-oriented programming. Includes algorithm design and program development
• Discrete Structures in Computer Science - An introduction to the discrete mathematics of computer science, including logic, set and set operations, methods of proof, recursive definitions, combinatorics, and graph theory.
• Intro to Computer Science II - Provides an overview of the fundamental concepts of computer science. Studies basic data structures, computer programming techniques and application of software engineering principles. Introduces analysis of programs.
• Computer Architecture and Assembly - Introduces functional organization and operation of digital computers. Coverage of assembly language; addressing, stacks, argument passing, arithmetic operations, decisions, macros, modularization, linkers, and debuggers.
• Web Development - How to design and implement a multi-tier application using web technologies: Creation of extensive custom client- and server-side code, consistent with achieving a high-quality software architecture.
• Data Structures - Abstract data types, dynamic arrays, linked lists, trees and graphs, binary search trees, hash tables, storage management, complexity analysis of data structures.
• Analysis of Algorithms - Recurrence relations, combinatorics, recursive algorithms, proofs of correctness.
• Introduction to Databases - Design and implementation of relational databases, including data modeling with ER or UML, diagrams, relational schema, SQL queries, relational algebra, user interfaces, and administration.
• Software Engineering - Introduction to the "front end" of the software engineering lifecycle; requirements analysis and specification; design techniques; project management.
• Operating Systems - Introduction to operating systems using UNIX as the case study. System calls and utilities, fundamentals of processes and interprocess communication.
• Intro to Parallel Programming - Theoretical and practical survey of parallel programming, including a discussion of parallel architectures, parallel programming paradigms, and parallel algorithms. Programming one or more parallel computers in a higher-level parallel language.
• Software Engineering II - Introduction to the "front end" of the software engineering lifecycle; requirements analysis and specification; design techniques; project management.
• Intro to Computer Networks - Computer network principles, fundamental networking concepts, packet-switching and circuit switching, TCP/IP protocol layers, reliable data transfer, congestion control, flow control, packet forwarding and routing, MAC addressing, multiple access techniques.
• Capstone Project - Real-world team-based experience with the software engineering design and delivery cycle, including requirements analysis and specification, design techniques, and requirements and final project written documentation.
• Cloud Application Development - Covers developing RESTful cloud services, an approach based on representational state transfer technology, an architectural style and approach to communications used in modern cloud services development.