Michael Holland

Junior Software Developer at Gray Falkon
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Washington DC-Baltimore Area

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Junior Software Developer
      • May 2021 - Present

      • We develop state of the art software that protects brands from being taken advantage of by gray market sellers • I develop automation software and create tools to enhance the efficiency of the company. • I also help with database management, google cloud platform integrations, and testing. • We develop state of the art software that protects brands from being taken advantage of by gray market sellers • I develop automation software and create tools to enhance the efficiency of the company. • I also help with database management, google cloud platform integrations, and testing.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Student Observer at West Mountain Observatory
      • Apr 2022 - Present

      • Operated and troubleshooted state of the art astronomy equipment in order to retrieve high quality astronomical research data such as images of galaxies, nebulas, variable stars, and standard fields.• Set up astronomical data processing software on new technology to assist with data reduction and data processing for the interpretation of research data.

    • Data Science Teaching and Curriculum Assistant
      • Sep 2022 - Jun 2023

      • Developed weekly labs for BYU's Tools for Data Science course (CS280) which includes data acquisition, workflow management software, dashboarding, machine learning and deep learning basics, machine learning deployment, dashboarding, data visualization, cloud computing, scientific computing, and basic database practices.• Developed and refined curriculum for BYU's Intro into Data Science course (CS180) which included writing Google Collab notebooks for students to interact with to do data visualization and exploration with Pandas, Sklearn, and Matplotlib.•Wrote two midterms to test the student's on the knowledge that they've gained throughout the course. The material includes data processing techniques, data analytics and visualization, python proficiency, etc...• Tutored students in the data science labs, and taught them concepts such as gradient descent, clustering analysis with k-means, traditional data exploration techniques, to name a few. Show less

    • Computer Vision Research Assistant
      • Jan 2020 - Aug 2022

      • Developed and implemented state of the art computer vision techniques in order to super-resolve and produce high fidelity predictions of planetary satellite imagery. This was able to show satellite imagery in a new light, and enhanced planetary science research around the globe.• Developed a galaxy classification algorithm that uses state of the art deep learning technologies, and pytorch, that's able to classify galaxies according to their Hubble classification type.• Developed a classification neural network using PyTorch in order to determine whether or not satellite imagery has hydrological and desert geomorphologies in order to parse through the massive satellite imagery dataset with an accuracy of 91%.• Consistently researched state of the art computer vision algorithms, and brainstormed ways to use those algorithms to enhance astronomy and planetary science imagery.• Presented a peer reviewed science abstract at the March 2022 Lunar and Planetary Science Conference.• Founded OPAL Labs, and interdisciplinary research group that branches the fields of computer science, planetary science, and astronomy. Show less

    • United States
    • Aviation and Aerospace Component Manufacturing
    • 700 & Above Employee
    • NWPEE Principle Investigator
      • Sep 2022 - Dec 2022

      • Lead a group of 12 students in writing a 7 page research grant proposal for LSpace's NWPEE Academy.• Developed the concept for an algorithm that would be used for training rovers using reinforcement learning by developing synthetic terrain based on satellite imagery of a planet's surface.• Researched current state of the art techniques for image segmentation, and computer vision systems for robotic object detection.

    • Chief Science Officer at the NASA L'SPACE Mission Concept Academy
      • May 2022 - Aug 2022

      • Researched and selected various instruments to be implemented in the MAGMA rover in order to research and survey Martian caves.• Developed the science subsystem using block diagrams and N^2 diagrams for the functionality and communication between the various instruments.• Selected a scientifically interesting landing site the using JMars software and satellite imagery from the Mars Reconnaissance Orbiter.• Obtained the requirements, risk-management, project-management, systems, heat-transfer, and siemans-nx skill badges. Show less

Education

  • Brigham Young University
    Bachelor's, Computer Science, Astronomy, and Planetary Science
    2017 - 2023
  • George C Marshall Highschool
    Highschool Diploma
    2013 - 2017

Community

You need to have a working account to view this content. Click here to join now