Matthias Sterckx

Software Engineer at Ocient
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Contact Information
us****@****om
(386) 825-5501
Location
Washington DC-Baltimore Area

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Experience

    • United States
    • Software Development
    • 100 - 200 Employee
    • Software Engineer
      • Aug 2023 - Present

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Software Development Engineer
      • Jul 2022 - Jun 2023

      Worked on the open-source Bottlerocket operating system and surrounding tools, as well as improved the DevOps projects for releases, CI/CD, testing, and availability monitoring. • Developed the testsys tool for the Bottlerocket operating system (github.com/bottlerocket-os/bottlerocket-test-system), adding crucial features such as allowing users to run test EC2 instances with custom userdata. • Led the creation of a standardized release process for the testsys tool, including the publishing of images to AWS ECR, testing the new changes on a Kubernetes EKS cluster, writing a changelog, and releasing the new version of the software on Github. • Designed and implemented a critically important canary alarm system to monitor the availability and correctness of public images and metadata for the Bottlerocket operating system in AWS EC2, SSM, and ECR. Show less

    • United States
    • Higher Education
    • 700 & Above Employee
    • Lecturer of Computer Science
      • Feb 2022 - May 2022

      Taught introductory and intermediate-level computer science courses to over 70 students. • Introduced students to basic computer science concepts such as boolean logic, data structures, and binary/hexadecimal number systems. • Oversaw labs for low-level Systems programming in C, C++, and shell scripts. • Provided students with the tools and experience to succeed in higher-level courses in the fields of Systems, Data Science, Software Development, and Theory. Taught introductory and intermediate-level computer science courses to over 70 students. • Introduced students to basic computer science concepts such as boolean logic, data structures, and binary/hexadecimal number systems. • Oversaw labs for low-level Systems programming in C, C++, and shell scripts. • Provided students with the tools and experience to succeed in higher-level courses in the fields of Systems, Data Science, Software Development, and Theory.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Teacher Assistant
      • Jan 2020 - Dec 2021

      Assisted in student success through a combination of office hours, tutoring, and grading.• Average grades ended up between 15 and 20 percent higher than prior years.• Improved legacy validation and academic integrity grading systems used to evaluate code submissions by writing automation shell scripts and implementing plagiarism checks.

    • Student Researcher
      • Aug 2019 - Aug 2021

      Worked on various research projects led by professors in the computer science department funded by state grants.• Researched the possibilities of using virtual reality to simulate science lab environments in areas where funding is too low for proper equipment.• Set up serial communication via Bluetooth between a robot and a computer, allowing the user to control the robot remotely and receive image data to be used for image recognition and area mapping purposes.• Researched the optimal layout for a data center with laser data transfer. Show less

    • United States
    • Software Development
    • 1 - 100 Employee
    • Data Analysis Intern
      • May 2021 - Aug 2021

      Improved rudimentary noise detection algorithms with the goal to speed up and improve accuracy of mass-spectrometry data analysis. • Analyzed mass spectrometry data to find optimal binning widths for high- and low-resolution captures. • Explored column relations that could be used to create a faster noise-detection algorithm than Durbin-Watson, including filtering by intensity curve angles. Improved rudimentary noise detection algorithms with the goal to speed up and improve accuracy of mass-spectrometry data analysis. • Analyzed mass spectrometry data to find optimal binning widths for high- and low-resolution captures. • Explored column relations that could be used to create a faster noise-detection algorithm than Durbin-Watson, including filtering by intensity curve angles.

Education

  • Appalachian State University
    Master of Science - MS, Computer Science (Data Science)
    2021 - 2021
  • Appalachian State University
    Bachelor of Science - BS, Computer Science
    2019 - 2020
  • Caldwell Community College and Technical Institute
    Science, 4.00
    2018 - 2019
  • UGent
    Bachelor of Science - BS, Computer Science
    2014 - 2018

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