Work Experience

Research Assistant

October 2019 - Present

Stanford University

  • Advised by Prof. Chris Manning. Working in the NLP group.

Deep Learning Intern

June 2019 - September 2019

Adobe

  • Devise, implement, and validate neural network models.

Teaching Assistant

January 2018 - December 2019

Stanford University

  • Taught Pathfinder section for CS106A - Stanford's introductory computer science course - in both Java and Python
  • Held office hours, 1-on-1 appointments/tutoring, and review sections

Software Engineer Intern

June 2017 - August 2017

General Electric

  • Built health model, utilizing Microsoft AzureML’s Anomaly Detection API.
  • Built data dictionary of team’s telemetry data

Software Engineer Intern

June 2016 - August 2016

General Electric

  • Optimized log file reader backend and frontend with QT libraries

Software Engineer Intern

June 2015 - August 2015

General Electric

  • Developed cloud tool in C# to use AWS to run builds and code quality tools
  • Wrote Perl script to automate export and backup of team's CI projects

Education

MS in Computer Science

September 2018 - June 2020

Stanford University

  • Specialized in AI to build purposeful data-driven products.

BS in Electrical Engineering / Minors in Spanish & Computer Science

September 2014 - March 2019

Stanford University

  • EE: specialized in Control theory with coursework in circuits, digital design, and signal processing.
  • Spanish: built speaking, writing, and listening skills through several classes. Also, took classes in Iberian and Latin American history and culture.
  • Computer Science: coursework in systems, data structures, algorithms, web dev, and security.