Experience

Zoox

San Fransisco, California
  • Self-driving car company aiming to develop autonomous vehicles from the ground up
  • Junior software developer on the Calibration, Localization, and Mapping team
  • Working with various types of sensor data to accurately localize the robot in the world
June 2020 - Present

Med.Inventive

Lafayette, Colorado
  • Patient monitoring using external camera through advanced computer vision and signal processing for vital sign monitoring
  • Using cascade classifiers with other computer vision techniques to detect different regions of interest
  • Using KLT tracking to maintain robust ROI in consecutive frames
  • Workong collaboratively with remote team to deploy within mobile application
July 2019 - June 2020

Globus Medical, Robotics Division

Boston, Massachusetts
  • C++ development within Qt framework on robotic system that helps guide spinal surgery. System uses IR tracking of surgical tools and references in conjunction with CT registration to navigate to millimeter-level accuracy
  • Created, trained, and deployed a fully convolutional neural net to perform vertebra segmentation on spinal fluoroscopy shots, which helped improve the registration algorthim
  • Advanced git workflow in agile workflow
  • Platform development, working on many areas on the robot such as the UI, DB, OS, and more.
Jan 2019 - July 2019

Autonomous Robotics and Perception Group

University of Colorado Boulder
  • Developed a SLAM algorithim based on radar scans to be used on autonomous drones to map subterranean environments
  • Used ROS to interface with TI mmWave radar, Hokuyo lidar and Intel RealSense camera to compare data outputs
  • Used MATLAB to quantify and compare measurements from different sensors
  • Modifyed firmware to improve radar algorithms on TI mmwave chip
Sept 2018 - Jan 2019

Superconductive Electronics Group

National Institute of Standards and Technology (NIST)
  • Created an automated python software system to characterize superconducting wafers fabricated at NIST; Led to a 250% increase in the speed of testing chips
  • Developed an SQL database and JavaScript generation of visual reports from 25GB+ of data
  • Aided in the development of MATLAB software to generate test patterns for superconducting logic chips fabricated by Northrop Grumman, Lincoln Labs and others
May 2016 - Jan 2019