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Python,Amazonaws,Linux,Rest Api,Json,Node.Js,Javascript,C,C++,SQL,Sdlc

Aurora, CO
January 05, 2020

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I have recently received my B.S. from the University of Colorado Denver- Anschutz Medical Campus in Bioengineering with a Computer Science emphasis and Mathematics minor. I am seeking a job that will make use of my background in software, probability and statistics, and/or big data.

Skills & Technologies

Python 2.7, Python 3.6

Amazon AWS

Linux Environment

Machine Learning



C, C ++


Probability and Statistics

SDLC framework


Microsoft SQL





Biological Engineering major, Mathematics minor with Computer Science emphasis

GPA=3.0, Spring 2019 Dean’s List

Class of 2019

University of Colorado Denver - Anschutz Medical Campus

Denver, Colorado


Statistical Correlation Engine for CereScan Corporation

Skills used:

Bioinformatics, NodeJS, Amazon AWS, Express.JS, Docker, Linux environment, Probability and Statistics, REST API, Data Structures

Independently developed a way to run CereScan’s statistical correlation engine on Amazon AWS, which involved creating an efficient AP I via NodeJS that could handle post requests of JSON data, of which the given data would be used to draw correlations between blood flow in the brain and various medical conditions.

Independently researched and developed cloud infrastructure to store their medical database information.

Researched and presented to the CTO of the company on how repeated measures correlation (rmcorr) could be used to create a more precise correlation between brain conditions and behavior.

Pacemaker training simulation for Children’s Hospital Colorado

Skills used:

Python 3.6, C++, Data Visualization knowledge of cardiac arrythmias

Designed a medical training device that will help nurses train students on the usage of an external pacemaker. Software for the project was written in Python 3.6 and C++. C++ was used to create a data transfer mechanism within a circuit that would transfer data of pacemaker pulses to the Python code. Using NumPy within Python, the data would then be used to create a moving graph of the voltage output of the circuit and would be superimposed over a simulated ECG graph. With the two graphs lined up, clinicians could then quickly identify if their pacemaker was pulsing at the correct or incorrect pace.

Work Experience

CereScan Corporation Summer 2018


This job was with a startup biotech company that provided introductory industry experience in computer infrastructure, software development, and data science. Please refer to the “Projects” section to learn more.

Opa Grill 2014-Present


This job relied heavily on soft skills as a sever in a restaurant that was often considered understaffed. This was job lasted through college student and helped pay for it.


In my free time, I enjoy playing three different instruments, mixing music, tinkering with code, and reading about politics/business.

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