RESUME

Languages

Python

Javascript

SQL

HTML/CSS

MATLAB

Frameworks / Libraries

scikit-learn

pandas

matplotlib

React

React Native

Node.js

Express.js

Spark

Hadoop

Databricks

D3

Seaborn

Plotly

Tools

Git/Github

Docker

PostGresSQL

AWS

GCP

Tableau

SolidWorks

Microsoft Suite

EDUCATION

M.S. in Computer Science

Georgia Institiute of Technology (Georgia Tech)

- Present

Relevant Courses

Machine Learning

Deep Learning

Data and Visual Analytics

Database Design

Simulation

Human Computer Interaction

B.S. in Chemical and Biomolecular Engineering

Georgia Institiute of Technology (Georgia Tech)

-

Honors

Highest Honors

Provost Scholar

Honors Program

WORK EXPERIENCE

FIG. 1 Patents

Spokane, Washington

-

  • Authored, filed, and prosecuted multiple patent applications concurrently, primarily in the software and machine learning field.
  • Created compelling visual representations to illustrate complex inventions of patent applications.
  • Advocated for patent application allowance by planning and conducting interviews with patent examiners.

National Aeronautics and Space Administration (NASA)

Kennedy Space Center, Florida

-

  • Designed and characterized critical subsystems and conducted experiments to optimize performance and advance the waste gasification reactor system (OSCAR) towards a technology demonstration in Low Earth Orbit.
  • Constructed a data-driven modular fluid, heat, and kinetic model of OSCAR subsystems using Cantera and SciPy in Python, enabling accurate predictions of overall products and behaviors.
  • Conducted thorough chemical analysis of reaction products utilizing advanced techniques such as infrared spectroscopy (FTIR), gas chromatography (GC), and scanning electron microscopy (SEM).
  • Developed custom automatic data analysis and visualization tools using Python, resulting in a remarkable 100-fold increase in analysis efficiency, enabling rapid processing of raw data and identification of key performance trends.

PROJECTS

Extreme Precipitation Data Analysis Project

Georgia Tech

-

  • Leaded the development of a map-style interface based on time-series data models to identify and analyze environmental factors influencing extreme precipitation sensitivity across the U.S. Leveraging plotly in Python and GIS data, to provide comprehensive insights.

Full-Stack Database Project

Georgia Tech

-

  • Spearheaded the construction of a robust full-stack web interface incorporating dynamic form input and comprehensive database reports, utilizing Postgres, Docker, Node.js, SQL, and HTML/CSS to create a seamless user experience.