Marcus
McKenzie

Robotics // Machine Learning // Engineer

About Me

Interdisciplinary engineer with a passion for robotics, machine learning and data science.

Wide range of hands-on experience from signal processing to data analytics.

Currently pursuing positions related to predictive analytics.

Skills

Projects

Checkout my latest endeavors on Github!

Quadrocopter

Multi-Object Tracking & Following

Self-Driving Car

Intersection Decision-Making

Human Support Robot

Autonomously Cleaning Up Rooms

Recent Experience

  • 02/2022 - Present

    Bosch

    Automated Driving Software Engineer

    Developing algorithms for the classification of road environments in autonomous vehicles, using C++. Analyzed and preprocessed sensor signal data.

  • 05/2021 - 09/2021

    Sandia National Labs

    Machine Learning Engineer Intern

    Analyzed RNN position estimates of an autonomous aerial vehicle, using Python. Developed convolutional neural net to detect and classify 3D point cloud objects, using PyTorch.

  • 07/2018 - 01/2019

    iRobot Corporation

    Robotics Engineer Intern

    Designed circuit board to autonomate testing of sensor signals and reduced testing time by 50%.
    Determined solution to docking failures affecting 30% of Terras, using computer vision.

  • 12/2018 - 06/2019

    Robotics & Intelligent
    Vehicles Research Lab

    Robotics Research Assistant

    Developed object detection and recognition to assist the elderly and disabled in cleaning up a room, with Toyota’s HSR robot, using Yolo and ROS.

  • 07/2017 - 01/2018

    Insulet Corporation

    Robotics & Automation Engineer Intern

    Developed Bluetooth capability in automated insulin pumps, for use w/ smartphones.
    Assisted in design of robot manufacturing process, using ABB robots & LabView.