Hello, I am a recently graduated Biomedical Engineer from The University of Texas at Austin.

I am interested in pursuing a career as an embedded software engineer. I have a passion for learning new technologies and applying them for personal projects in my personal life. Previously I have created embedded devices for medical applications as well as for DIY home projects.

In addition, I have experience streamlining the order fulfillment process for a family-owned local business by developing software to automate order processing and fulfillment.

Contact Me

University of Texas at Austin

Bachelor of Sciences in Biomedical Engineering - Class of 2018

• Track I: Imaging and Instrumentation

UCP Biosciences

Research and Development Software Intern

• Developed frontend GUI for embedded drug testing devices utilizing Python 2.7 and Qt Design Framework
• Implemented image capturing and signal processing algorithms in C and Python to capture, process, and record drug test results automatically
• Executed electrical engineering design principles to construct custom power supply circuit boards
• Participated in entire product development lifecycle from ideation to minimum viable prototype

A simple business dashboard app built with Django and MySQL.

• Asynchronous Emails utilizing Celery 3.1.25 with Amazon SQS as broker
• Style with Bootstrap 4.1.1
• Deployed on Amazon Elastic Beanstalk, with post-deployment bash script for starting a celery worker
• Linked to an Amazon RDS MySQL database

Django-React Business Dashboard Web Application (WIP)

A business application to handle order fulfillment and invoice processing for a family owned business, Terracotta Lighting

• Django REST API backend utilizing PostgreSQL
• React(or Vue) frontend with JWT authentication
• Currently work in progress and things may change; I just wanted to learn and practice REST api apps, with a modern frontend framework.

Portable EEG for measuring Visual Evoked Potentials

Clinically viable method for quickly and cost-effectively diagnosing abnormalities along visual pathways such as glaucoma, macular degeneration, and amblyopia.

• Constructed a custom circuit board for amplifying, filtering, and capturing occipital lobe evoked potentials in the microvolt range
• Implemented multiple instrumentation and operational amplifiers along with butterworth and 60 Hz Notch filters to acquire a clean, repeatable signal in several high-noise environments
• Successfully maintained a budget constraint of sub-$100 for materials

12-Lead EKG

Embedded device featuring a TM4C123 Microcrontroller for advanced diagnosis of myocardial health.

• Utilized real-time signal processing to capture and display cardiac activity
• Integrated analog mux to capture the multiple inputs required for a 12 lead EKG
• Implemented all features in C, including a basic gui for displaying datas

Travelling salesman type optimization platform for determining optimal routes for delivering emergency aid in resource constrained settings.

• Utilized Twilio API, Google OR-Tools, Google Maps, Flask, and MongoDB to create an SMS-based emergency contact system
• Created a minimum viable product within 72 hours
• Placed 9th out of 80 teams at Johns Hopkins Medhacks 2017

A chrome extension for automatically parsing Ship To information from the ebay seller page to the Fedex Ship Manager form to allow for rapid order fulfillment using the sellers Fedex account.